车内噪声品质分析与选择性消声控制方法研究
|
摘要
在汽车工业迅猛发展的今天，汽车车内噪声已经成为评价汽车乘坐舒适性和产品质量的重要指标之一，它的好坏对消费者购车取向和产品的市场竞争力会产生很大的影响。在以往的汽车噪声法规和标准中，多以A计权声级作为噪声评价指标，然而A声级没有深入考虑车内噪声声学品质特性，无法全面反应人对噪声的感受。在这种情况下，声品质这个现代噪声研究的全新概念应运而生，它指出人对噪声的感觉是受心理和生理因素的共同影响，反映了作为评价主体的人对特定条件下声音的主观感觉。
采用被动和主动控制方法可以有效地控制车内噪声和声品质，传统被动降噪方法能在宽频范围内进行中高频噪声的降噪，但对低频噪声抑制效果乏力，且难以对车内噪声品质进行有效改善；主动降噪方法使噪声控制更具有针对性，可以对车内噪声实现分频段有选择性抵消，达到改善车内噪声品质的目的，且低频噪声控制效果好。
本文结合课题组承担的国家自然科学基金项目《车内噪声品质分析评价及其自适应主动控制方法研究》（50975119），以车内噪声品质分析和自适应主动控制策略研究为主线，以偏好性和烦躁度为评价指标对我国国产轿车车内噪声品质进行了主观评价试验及客观量化分析；借助于数字滤波技术进行了噪声选择性主动消声控制理论与方法研究，研制车内噪声品质主动控制系统原理样机，构建车内噪声品质自适应主动控制系统，在某型国产轿车上进行了车内噪声选择性主动控制试验并对噪声品质进行了分析。论文主要完成了以下研究工作：
首先，采集8种不同类型国产轿车在稳态工况匀速行驶时和匀加速行驶工况下的车内声音样本作为评价对象，组成了29人的评价组，分别采用自适应分组成对比较法和等级评分法进行了声品质偏好性和烦躁度主观评价试验。对主观评价试验数据进行了严格检验，并剔除了评价结果明显与众不同的评价者数据，最终得到了不同工况下声音样本的声品质偏好性排序值和烦躁度等级值；并将主观评价结果与五个心理声学客观参数及两种声压级进行相关性分析和多元线性回归分析，结果表明汽车在稳态匀速行驶工况下，响度和尖锐度对车内噪声品质的影响更为显著；而当汽车在匀加速行驶工况下，响度更适宜作为描述车内噪声品质优劣的指标。
其次，采用选择性消减车内噪声成分中对声品质影响较大的频段幅值的方法，来调整和改善车内噪声品质特性。提出基于频率选择性滤波的归一化最小均方算法（NFSFLMS）的自适应控制方法，研究车内噪声自适应主动控制系统选择性消声的控制机理；在Matlab/Simulink环境中构建算法的仿真模型，通过合理地设置滤波器参数，对单频噪声信号和窄带随机噪声信号进行了自适应有源抵消的仿真分析，结果证明了上述算法的有效性。
再次，基于上述理论和方法，自主设计开发了车内噪声选择性自适应主动控制系统。该系统的硬件部分由程控电荷放大及信号调理模块、程控前置放大模块、转速信号整形模块、A/D转换模块、主控制单元、D/A转换模块、编程及通讯接口、声功率放大模块以及电源模块等组成；通过汇编语言和C语言混合编程方式在开发环境SiliconLaboratories IDE中编写了控制系统初始化程序、子模块调用程序、自适应算法程序以及选择性数字滤波程序，最终完成了基于频率选择性滤波的车内噪声自适应主动控制系统硬件设计和软件开发工作。
最后，以自主研制的控制器为核心，在某国产轿车上构建了车内噪声选择性自适应主动控制系统。在汽车稳态行驶工况下，利用NFSFLMS算法对车内副驾驶后排座椅乘员两耳旁噪声实施了选择性主动控制；结果表明，被抵消频率处噪声衰减明显，其它频率噪声成分受到的影响不大，相应的响度与尖锐度值也得到了有效降低，车内噪声品质评价指数SQ值也随之提高了14%以上。在加速行驶工况下，使用FXLMS算法对车内乘员两耳旁噪声实施主动控制，结果显示，噪声的能量及幅值都有所降低，影响加速行驶时车内噪声品质的响度也下降了近10%，车内噪声品质评价指数SQ值则提高了16%。可见，通过实施车内噪声品质选择性主动控制，取得了明显的车内声品质改善效果。
In the rapid development of automobile industry today, interior noise has become animportant evaluation index of ride comfort and product quality, it is good or bad will have agreat influence for the purchase intention of consumers and market competitiveness of theproduct. In the past the regulations and standards of car noise, mostly in A weighted soundlevel as noise evaluation, However, A level no in-depth consideration of vehicle interiornoise acoustic quality characteristics, not a comprehensive response to noise feeling.However, A-weighted sound level without deep considerations of the quality characteristicsof interior noise sound can not fully reflect the feelings of noise. In this case, the newconcept of modern noise-sound quality emerge as the times require, and it points out thatnoise of people's feel is affected by the psychological and physiological factors, reflected asthe subjects of evaluation on certain conditions the subjective perception of sound.
By using both passive and active control method can effectively control the interiornoise of vehicle sound quality. The traditional passive noise method can be in a widefrequency range for medium and high frequency noise reduction, but the low frequencynoise suppression effect is weak, and it is difficult for interior sound quality to be improved.The method of active noise reduction to make the noise control is more targeted, can beachieved interior noise frequency segments are selectively cancel, used to achieve thepurpose of improving sound quality inside vehicle, and the low frequency noise controleffect is good.
Based on the National Natural Science Fund Project “the car interior noise qualityanalysis and method research of adaptive active control ", car interior noise sound qualityanalysis and control strategy as the main lines, preference and annoyance as an index to China's domestic car interior noise of subjective evaluation and objective quantitativeanalysis. By means of digital filtering techniques were noise selectively active noise controltheory and method research,, developed the active noise control in vehicle principleprototype, constructed inside the adaptive active noise control system, and in some types ofChina-made cars was carried out on the car interior noise selectively active controlexperiment and the noise quality were analyzed. The paper mainly completed the followingresearch work:
First, collect eight different types of domestic car in the uniform steady state drivingand the driving cycles of a uniformly accelerating car sound samples as evaluation object,29men formed the evaluation team, adopts adaptive grouped pair-wise comparison methodOn the subjective evaluation of the test data has been rigorously tested, and weed out theevaluation result was out of the ordinary evaluation, finally obtained the sound samplesound quality preference performance value and annoyance rating value in differentconditions; and the subjective evaluation results and five psychoacoustic parameters andtwo kinds of A-weighted sound pressure level carried out correlation analysis and multiplelinear regression analysis. The results show that the loudness and sharpness of interiorsound quality are more significant effect in steady state conditions; and when the loudnessis more suitable as vehicle is describing the good-bad index of interior sound quality inuniformly accelerated conditions.
Secondly, by means of selective subtraction of vehicle interior noise componentthat the sound quality is greatly influenced by the band amplitude method, adjustment andimprovement of interior noise quality characteristics。Adaptive control method is proposedbased on frequency selective filtering of NFSFLMS algorithm，study on the controlmechanism of selective noise elimination for adaptive active control system in vehicleinterior noise; The simulation model constructed of algorithm in Matlab/Simulink andrational setup of filter’s parameters, single frequency noise signal and narrowbandrandom signal noise signal carry out the simulation analysis of adaptive elimination, theresults proved that the algorithm is efficient.
Again, based on the above theory, the selective adaptive active control system of vehicle interior noise is designed and developed. The hardware of the system consisting byprogrammable preamplifier module and signal adjusting module、 programmablepreamplifier module、 programmable preamplifier module、plastic module of speedsignal、A/D conversion module、main controller、D/A conversion module、programmingand communication interface、sound power amplifier module and the power supply modulecomposed the hardware of an adaptive active controller. The control system isprogrammed by C language and assembly language mixed programming method in SiliconLaboratories IDE of the development environment, which includes the initializationprocedure, module call procedures, adaptive algorithm and selective program of digitalfiltering. Finally, based on adaptive active control system of interior noise of thefrequency selective filter, hardware design and software development work havecompleted.
Finally, that was independently developed the controller as the core, adaptive activenoise control system of interior sound quality was constructed in a certain domestic car. Insteady-state conditions, using the NFSFLMS algorithm was implementing selective activecontrol for noise of the occupant ears. The results show that, the noise of cancellationfrequency decreases obviously, other frequency components are almost uninfluenced; theloudness and sharpness value has been effectively reduced; the SQ value of evaluationindex will increase14%above for interior sound quality。In the acceleration runningcondition, the noise near the driver's ears was made active control by the FXLMS algorithm.The results showed the energy of noise and amplitude was decreased, acceleration ofinterior sound quality is affected, which the loudness has fallen by nearly10%, theevaluation index-SQ value of sound quality increased by16%.
采用被动和主动控制方法可以有效地控制车内噪声和声品质，传统被动降噪方法能在宽频范围内进行中高频噪声的降噪，但对低频噪声抑制效果乏力，且难以对车内噪声品质进行有效改善；主动降噪方法使噪声控制更具有针对性，可以对车内噪声实现分频段有选择性抵消，达到改善车内噪声品质的目的，且低频噪声控制效果好。
本文结合课题组承担的国家自然科学基金项目《车内噪声品质分析评价及其自适应主动控制方法研究》（50975119），以车内噪声品质分析和自适应主动控制策略研究为主线，以偏好性和烦躁度为评价指标对我国国产轿车车内噪声品质进行了主观评价试验及客观量化分析；借助于数字滤波技术进行了噪声选择性主动消声控制理论与方法研究，研制车内噪声品质主动控制系统原理样机，构建车内噪声品质自适应主动控制系统，在某型国产轿车上进行了车内噪声选择性主动控制试验并对噪声品质进行了分析。论文主要完成了以下研究工作：
首先，采集8种不同类型国产轿车在稳态工况匀速行驶时和匀加速行驶工况下的车内声音样本作为评价对象，组成了29人的评价组，分别采用自适应分组成对比较法和等级评分法进行了声品质偏好性和烦躁度主观评价试验。对主观评价试验数据进行了严格检验，并剔除了评价结果明显与众不同的评价者数据，最终得到了不同工况下声音样本的声品质偏好性排序值和烦躁度等级值；并将主观评价结果与五个心理声学客观参数及两种声压级进行相关性分析和多元线性回归分析，结果表明汽车在稳态匀速行驶工况下，响度和尖锐度对车内噪声品质的影响更为显著；而当汽车在匀加速行驶工况下，响度更适宜作为描述车内噪声品质优劣的指标。
其次，采用选择性消减车内噪声成分中对声品质影响较大的频段幅值的方法，来调整和改善车内噪声品质特性。提出基于频率选择性滤波的归一化最小均方算法（NFSFLMS）的自适应控制方法，研究车内噪声自适应主动控制系统选择性消声的控制机理；在Matlab/Simulink环境中构建算法的仿真模型，通过合理地设置滤波器参数，对单频噪声信号和窄带随机噪声信号进行了自适应有源抵消的仿真分析，结果证明了上述算法的有效性。
再次，基于上述理论和方法，自主设计开发了车内噪声选择性自适应主动控制系统。该系统的硬件部分由程控电荷放大及信号调理模块、程控前置放大模块、转速信号整形模块、A/D转换模块、主控制单元、D/A转换模块、编程及通讯接口、声功率放大模块以及电源模块等组成；通过汇编语言和C语言混合编程方式在开发环境SiliconLaboratories IDE中编写了控制系统初始化程序、子模块调用程序、自适应算法程序以及选择性数字滤波程序，最终完成了基于频率选择性滤波的车内噪声自适应主动控制系统硬件设计和软件开发工作。
最后，以自主研制的控制器为核心，在某国产轿车上构建了车内噪声选择性自适应主动控制系统。在汽车稳态行驶工况下，利用NFSFLMS算法对车内副驾驶后排座椅乘员两耳旁噪声实施了选择性主动控制；结果表明，被抵消频率处噪声衰减明显，其它频率噪声成分受到的影响不大，相应的响度与尖锐度值也得到了有效降低，车内噪声品质评价指数SQ值也随之提高了14%以上。在加速行驶工况下，使用FXLMS算法对车内乘员两耳旁噪声实施主动控制，结果显示，噪声的能量及幅值都有所降低，影响加速行驶时车内噪声品质的响度也下降了近10%，车内噪声品质评价指数SQ值则提高了16%。可见，通过实施车内噪声品质选择性主动控制，取得了明显的车内声品质改善效果。
In the rapid development of automobile industry today, interior noise has become animportant evaluation index of ride comfort and product quality, it is good or bad will have agreat influence for the purchase intention of consumers and market competitiveness of theproduct. In the past the regulations and standards of car noise, mostly in A weighted soundlevel as noise evaluation, However, A level no in-depth consideration of vehicle interiornoise acoustic quality characteristics, not a comprehensive response to noise feeling.However, A-weighted sound level without deep considerations of the quality characteristicsof interior noise sound can not fully reflect the feelings of noise. In this case, the newconcept of modern noise-sound quality emerge as the times require, and it points out thatnoise of people's feel is affected by the psychological and physiological factors, reflected asthe subjects of evaluation on certain conditions the subjective perception of sound.
By using both passive and active control method can effectively control the interiornoise of vehicle sound quality. The traditional passive noise method can be in a widefrequency range for medium and high frequency noise reduction, but the low frequencynoise suppression effect is weak, and it is difficult for interior sound quality to be improved.The method of active noise reduction to make the noise control is more targeted, can beachieved interior noise frequency segments are selectively cancel, used to achieve thepurpose of improving sound quality inside vehicle, and the low frequency noise controleffect is good.
Based on the National Natural Science Fund Project “the car interior noise qualityanalysis and method research of adaptive active control ", car interior noise sound qualityanalysis and control strategy as the main lines, preference and annoyance as an index to China's domestic car interior noise of subjective evaluation and objective quantitativeanalysis. By means of digital filtering techniques were noise selectively active noise controltheory and method research,, developed the active noise control in vehicle principleprototype, constructed inside the adaptive active noise control system, and in some types ofChina-made cars was carried out on the car interior noise selectively active controlexperiment and the noise quality were analyzed. The paper mainly completed the followingresearch work:
First, collect eight different types of domestic car in the uniform steady state drivingand the driving cycles of a uniformly accelerating car sound samples as evaluation object,29men formed the evaluation team, adopts adaptive grouped pair-wise comparison methodOn the subjective evaluation of the test data has been rigorously tested, and weed out theevaluation result was out of the ordinary evaluation, finally obtained the sound samplesound quality preference performance value and annoyance rating value in differentconditions; and the subjective evaluation results and five psychoacoustic parameters andtwo kinds of A-weighted sound pressure level carried out correlation analysis and multiplelinear regression analysis. The results show that the loudness and sharpness of interiorsound quality are more significant effect in steady state conditions; and when the loudnessis more suitable as vehicle is describing the good-bad index of interior sound quality inuniformly accelerated conditions.
Secondly, by means of selective subtraction of vehicle interior noise componentthat the sound quality is greatly influenced by the band amplitude method, adjustment andimprovement of interior noise quality characteristics。Adaptive control method is proposedbased on frequency selective filtering of NFSFLMS algorithm，study on the controlmechanism of selective noise elimination for adaptive active control system in vehicleinterior noise; The simulation model constructed of algorithm in Matlab/Simulink andrational setup of filter’s parameters, single frequency noise signal and narrowbandrandom signal noise signal carry out the simulation analysis of adaptive elimination, theresults proved that the algorithm is efficient.
Again, based on the above theory, the selective adaptive active control system of vehicle interior noise is designed and developed. The hardware of the system consisting byprogrammable preamplifier module and signal adjusting module、 programmablepreamplifier module、 programmable preamplifier module、plastic module of speedsignal、A/D conversion module、main controller、D/A conversion module、programmingand communication interface、sound power amplifier module and the power supply modulecomposed the hardware of an adaptive active controller. The control system isprogrammed by C language and assembly language mixed programming method in SiliconLaboratories IDE of the development environment, which includes the initializationprocedure, module call procedures, adaptive algorithm and selective program of digitalfiltering. Finally, based on adaptive active control system of interior noise of thefrequency selective filter, hardware design and software development work havecompleted.
Finally, that was independently developed the controller as the core, adaptive activenoise control system of interior sound quality was constructed in a certain domestic car. Insteady-state conditions, using the NFSFLMS algorithm was implementing selective activecontrol for noise of the occupant ears. The results show that, the noise of cancellationfrequency decreases obviously, other frequency components are almost uninfluenced; theloudness and sharpness value has been effectively reduced; the SQ value of evaluationindex will increase14%above for interior sound quality。In the acceleration runningcondition, the noise near the driver's ears was made active control by the FXLMS algorithm.The results showed the energy of noise and amplitude was decreased, acceleration ofinterior sound quality is affected, which the loudness has fallen by nearly10%, theevaluation index-SQ value of sound quality increased by16%.
引文
[1]陆晓军、王登峰.次声试验系统及次声对人体生理功能影响的试验方法.声学学报，2002，27（1）：27-32
[2]钱燕.客车车内噪声的主动控制技术研究[D].南京:南京林业大学.2006.
[3]鲁卡宁.汽车噪声控制.机械工业出版社.1988.16-22.
[4]王峻廷.车内噪声主动控制的选择性消声方法研究[D].长春:吉林大学，2008.
[5]孙强.基于人工神经网络的汽车声品质评价与应用研究[D].长春:吉林大学，2010.
[6] J. Blauert. Product-sound assessments: An enigmatic issue from the point of view ofengineering. Proc. internoise94, Yokohama, Japan,1994;2:857-862
[7]姜吉光.基于噪声主动控制方法的车内声品质研究[D].长春:吉林大学，2007.
[8] L. N. Solomon. Semantic reactions to systematically varied sounds. J. Acta Acusticaunited with Acustica,1995;31:986-990.
[9] N. Chouard, T. Hempel. A semantic differential design especially developed for theevaluation of interior car sounds. ASA-EAA-DAGA Joint Meeting, Berlin, Germany,1999.
[10]. S. Buss et al. Combing methods to evaluate sound quality. The2000internationalCongress and Exhibition on Noise Control Engineering, Nice, France,2000.
[11] R. Bisping. Emotional effect of car interior sounds: pleasantness and power and theirrelation to acoustic key features. SEA paper951284,1995:1203-1209.
[12] M. JHussain, J. Golles, A. Ronacher, H. Schiffbanker. Statistical evaluation of anannoyance index for engine noise recordings. SAE Technical Paper Series911080,1991.
[13]. Amman, Scott; Greenberg, Jeff. Subjective evaluation and objective quantification ofautomobile strut noise. Noise control Eng. J.47(1),1999:17-27.
[14] Naoki Sato and Yasuo Miura. Study on Exterior Idling Sound Quality EvaluationMethod for Diesel Engine Trucks. SAE TECHNICAL PAPER SERIES.1999-01-1739.
[15] Lim T C. Correlations between deficiencies in power window systems influencingsound quality and some psychoacoustic metrics[J]. Applied Acoustics,2001,62(9):1025-1047.
[16] Zhang L, Champagne A. Toward an objective understanding of perceived gloveboxclosure sound quality[C]. Traverse City: SAE Noise and Vibration Conference andExhibition,2003-01-1499.
[17] M.-A. Gulbol,M. Kleiner. Affective Evaluations of and Reactions to Exterior andInterior Vehicle Auditory Quality. Journal of Sound and [18] Sang-Kwon Lee, Byung-Soo Kim, Hee-Chang Chae. Sound quality analysis of aPassenger car based on rumbling index [J]. SAE Technical Paper, No.2005-01-2481.
[19] Sung-Jong Kim, Sang Kwon Lee, Dong-Chul Park, Min-Sub Lee, Seung-Gyoon Jung.Objective evaluation for the passenegr car during acceleration based on the soundmetric and artificial neural network [J] SAE Technical Paper, No.2007-01-2396.
[20] Paulraj M P, Sazali Yaacob, Allan Melvin Andrew.Vehicle Noise Comfort LevelIndication:A Psychoacoustic Approach.20106th International Colloquium on SignalProcessing&Its Applications.
[21] Ryota Nakasaki, Hiroshi Hasegawa and Masao Kasuga. Subjective evaluation of soundimages of air-conditioning system in a vehicle. Acoust. Sci.&Tech.32,4(2011).
[22] M Hussain, J Golles, A Ronacher, HSchiffbanker. Statistical evaluation of anannoyance index for engine noise recordings [J].SAE Technical Paper, No.911080,1991.
[23] R. Guski. Psychological for Evaluating Sound Quality and Assessing AcousticInformation. Acta Acustica united with Acustica,1997;83(5):765-774.
[24] R. Heinrichs, M. Booden. Perceptual and instrumental description of the gear-rattlephenomenon FOR DIESEL VEHICLES,6THInt. Congress on Sound and Vibration,Copenhagen Denmark,1999:3103-3112.
[25] M. Bodden, R. Heinrichs. Analysis of the time structure of gear rattle In Proceedings ofthe Internoise99, Fort Lauderdale, USA,1999:1273-1278.
[26] T Hashimoto. Sound quality approach on vehicle interior and exteriornoise-Quantification of frequency related attributes and impulsiveness [J]. Journal ofAcoustical Society of Japan (E),2000(21):337-340.
[27] Teik C.Lim. Correlations between deficiencies in power window systems influencingsound quality and some psychoacoustic metrics. Applied Acoustics.62(2001)1025-1047
[28] Otto Martner, Carsten Zerbs, B John Feng. Psychoacoustic model for the objectivedetermination of engine roughness [C].Sound Quality Symposium2002DEARBORN,Michigan：SQS02-35
[29] Pi ero, De Diego. Correlations Between Time-frequency Spectral Characteristics andPsychoacoustic Metrics.[J].SAE Technical Paper
[30] Wouter De Baene. Roughness perception in sounds: behavioral and ERP evidence.Biological Psychology67(2004)319-330
[31] Sung-Jong Kim, Sang Kwon Lee, Dong-Chul Park, Min-Sub Lee, Seung-Gyoon Jung.Objective evaluation for the passenegr car during acceleration based on the soundmetric and artificial neural network [J] SAE Technical Paper, No.2007-01-2396.
[32] Mohd Jailani Mohd Nor, Mohammad Hosseini Fouladi. Index for vehicle acousticalcomfort inside a passenger car. Applied Acoustics69(2008)343-353.
[33] Su-Won Jang,Cheol-Ho Jeong. A Study on the Sound Quality Evaluation Model ofMechanical Air-Cleaners. Journal of Vibration and Acoustics, JUNE2009, Vol.131.
[34] W.-H. CHO, J.-G. IH, S.-H. SHIN. QUALITY EVALUATION OF CAR WINDOWMOTORS USING SOUNDQUALITY METRICS. International Journal of AutomotiveTechnology, Vol.12, No.3, pp.443450(2011).
[35]闫靓,陈克安.一种新的环境声质量评价方法[J].声学技术,2003(2):322-324.
[36]毛东兴,高亚丽,等.声品质主观评价的分组成对比较法研究[J].声学学报,2005,30(6):515-520.
[37]毛东兴.车内声品质主观评价与分析方法的研究[D].上海：同济大学,2003.
[38]焦风雷，刘克.噪声控制领域的声品质研究简述:Ⅱ主观评价.2003全国环境声学学会、电磁辐射环境学术会议论文集.2003
[39]刘克，焦风雷.噪声控制领域的声品质研究简述:Ⅰ客观评价.2003全国环境声学学会、电磁辐射环境学术会议论文集.2003
[40]焦风雷，刘克，毛东兴.运用多维尺度分析进行噪声品质的主观评价.声学技术，Vol.23,2004:95-96
[41]张伟，蒋伟康.基于心理声学分析的车内异响噪声辨识.汽车工程，2003，Vol.25，No.6
[42]宋恩栋.汽车声品质评价流程与软件系统开发的研究[D].合肥：合肥工业大学,2009.
[43]陈迎春，王岩松.基于小波和匹配跟踪两种降噪方法的比较研究.辽宁工学院学报，2007年02期.
[44]胡国强,陈晓东,孙柏林,等.4缸柴油机怠速噪声及声品质优化研究[J].内燃机工程,2009,(4):78-81,86.
[45]申秀敏,左曙光.基于支持向量机的车内噪声声品质预测.振动、测试与诊断,2011年2月第31卷第1期.
[46]姜吉光，王登峰，苏丽俐，谭刚平.车内噪声品质偏好性主客观评价及相关性分析.汽车技术，2012年第8期，6～10.
[47]苏丽俐，王登峰，姜吉光.基于语义细分的车内声品质模糊综合评价.吉林大学学报（工学版）,2012年3月，第42卷第2期.
[48]王登峰，刘宗巍，梁杰，王世刚，姜吉光.车内噪声品质的主观评价试验与客观量化描述研究.吉林大学学报（工学版），2006，增刊2：41～45
[49]刘宗巍，王登峰，梁杰.车内噪声声质量的主观评价及其改善措施的研究与发展.汽车技术，2006，7
[50]刘学广，王登峰，刘宗巍，梁杰.车内多次级声源自适应有源消声研究.农业机械学报，2005，36（2）：27～30
[51]刘学广，王登峰，刘宗巍，张洪超.基于动态神经网络（DNN）的多通道有源消声仿真分析.长春理工大学学报，2006，29（3）：23～26
[52]王登峰，刘学广，刘宗巍，梁杰.基于发动机转速的车内有源消声控制策略和自适应算法.公路交通科技，2004，10：126～129
[53]王登峰，刘学广，刘宗巍，梁杰.车内自适应有源消声系统次级声源布放试验.中国公路学报，2006，19（3）：122～126
[54]刘宗巍,王登峰,姜吉光.用主动噪声控制法改善车内声品质.吉林大学学报(工学版),2008年3月，第38卷第2期.
[55] Lueg P. Process of silencing sound oscillations[P]. United States, Patent2043416,1936.
[56]H.L.olson，E.G.May.“Eleetronie sound absorber”[J].Journal of the Aeoustieal Soeietyof America，Vol25，No6:1130一1136，1953
[57]刘恩泽，严济宽，陈端石.噪声主动控制系统研究概况及发展趋势.噪声与振动控制，1999，（3）
[58]徐永成等.有源消声技术与应用评述.国防科技大学学报，2001，23（2）
[59] Nelson P A, Elliott S J. Active control of sound[M]. Academic Press, London,1992.
[60] Manpeil Tamamura,Eiji Shibata. Applieation of active noise control for engine relatedcabin noise. JSAE Review.1996.17.
[61] Jerome Couche. Active control of automobile cabin noise with conventional andadvanced speakers. master thesis，Virginia,1999.
[62] Sano H, Inoue T, Takahashi A, et al. Active control system for low-frequency roadnoise combined with an audio system[C]. IEEE Trans. Speech and Audio Processing9,2001:755-763.
[63] A Gonzalez，M Ferrer. Sound quality of low-frequency and car engine noises afteractive noise control. Journal of Sound and Vibration.2003.265(3).
[64] S. M. Kuo, Abhijit Gupta and Sridevi Mallu. Development of Adaptive Algorithm forActive Sound Quality Control. Journal of Sound and Vibration
[65]D. Zhou, V. DeBrunner. A New Active Noise Control Algorithm That Requires NoSecondary Path Identification Based on the SPR Property[J]. IEEE Trans. SignalProcess,2007,55(5):1719–1729.
[66] C. Chang, D. Chen. Active Noise Cancellation without Secondary Path Identificationby Using an Adaptive Genetic Algorithm[J]. IEEE Trans. Instrumentation andMeasurement,2010,59(9):2315–2327.
[67]袁明.虚拟仪器环境下前馈自适应噪声主动控制方法研究[D].南京:南京航空航天大学，2009.
[68] Joachim Scheuren, Ulrich Widmann and Jens Winkler. Active Noise Control and SoundQuality Design in Motor Vehicles. SAE Paper,1999-01-1846
[69] Woon-Seng Gan. Applying Equal-loudness Compensation to the Adaptive Active NoiseControl. Applied Acoustics,61(2000),183-187
[70] A. Gonzalez, M. Ferrer, M. de Diego, G. Pinero and J. J. Garcia-Bonito. Sound Qualityof Low-frequency and Car Engine Noises after Active Noise Control. Journal of Soundand Vibration,265(2003),663-679
[71] Sen M. Kuo, Ravi K. Yenduri. Frequency-domain delayless active sound qualitycontrol algorithm. Journal of Sound and Vibration.318(2008)715–724
[72] Leopoldo P.R.deOliveira, Karl Janssens. Active sound quality control of engineinduced cavity noise. Mechanical Systems and Signal Processing.23(2009)476–488.
[73] Hua Bao,Issa M.S. Panahi. Psychoacoustic Active Noise Control with ITU-R468Noise Weighting and its Sound Quality Analysis.32nd Annual InternationalConference of the IEEE EMBS Buenos Aires, Argentina, August31-September4,2010
[74]陈克安，马远良.自适应宽带有源消声.声学学报.1994.19（2）.101-109.
[75]姜吉光，王登峰.基于频率选择性滤波的归一化最小均方算法研究.科学技术与工程.2012，第12卷，第12期，2874～2878.
[76] Paterson R.D. The sound of a sinusoid: time-interval models[J]. JASA,1994,96(3):1419-1428.
[77] Schroeder M, Atal B, Hall J. Optimizing speech coders by exploitingmaskingproperties of the human ear[J]. JASA,1979,66(6):1647-1652.
[78] Zwicker E, Terhardt E. Analytical expressions for critical bandwidth as afunction offrequency[J]. JASA,1980,68(5):1523-1525.
[79] Paterson R D. The sound of a sinusoid: spectral models[J]. JASA,1994,96(3):1409-1418.
[80]饶伟.车内声品质评价模型的建立及应用研究[D].长春:吉林大学，2008.
[81]马大猷.语言信息和语言通信[M].北京:知识出版社,1987.
[82]葆源,张厚,陈舒永,等.实验心理学[M].北京:北京大学出版社,1983.
[83]谢鼎华,杨伟炎,韩德民.耳聋的基础与临床[M].长沙:湖南科技出版社,2004.
[84]马大猷,沈豪.声学手册[M].北京:科学出版社,2004.
[85]黄选兆,汪吉宝.实用耳鼻咽喉科学[M].北京:人民卫生出版社,1998.
[86]牟海龙.国产轿车非稳态状况下声音品质的研究[D].长春:吉林大学，2009.
[87] Zwicker E, Fastl H. Psychoacoustics: Facts and Models [M].2nd ed.New York:Springer,1999.
[88]刘宗巍.车内噪声声品质建模分析与自适应主动控制研究[D].长春:吉林大学，2007.
[89] Brian C. J. Moore. An Introduction to the Psychology of Hearing. Academic Press, SanDiego,1997, Third Ed.
[90] Fletcher H. Auditory Patterns. Rev. Mod. Phys,1940,12,47～65
[91] Blauert,J.Spatial Hearing.MIT Press,Carnbridge,Mass,1983.
[92] Schiffbanker, Hussain. Development and Application of an Evaluation Technique toAssess the Subjective Character of Engine Noise. SAE Paper,911081
[93] Bodden M, Heinrichs. Sound Quality Evaluation of Interior Vehicle Noise Using anEfficient Psychoacoustic Method. Proc. of Euronoise,1998
[94] Kousuke Noumura, Junji Yoshida. Perception Modeling and Quantification of SoundQuality in Cabin. SAE paper,2003-01-1514
[95] International standard organization. ISO-532-1975. Acoustics-Method for calculatingloudness level[S].1975.
[96] Mφller H, Sφrensen M F, Hammershφi D, et al. Head-related transfer functions ofhuman subjects [J].J Audio Eng Soc,1995,43(5):300-321.
[97] Zwicker E, Fastl H. Psychoacoustics, facts and models[M]. Berlin: SpringerVerlag,1999.
[98] Otto N. A subjective evaluation and analysis of automotive starter sounds [J].NoiseControl Engineering Journal,1993(41):377-382.
[99] Parizet E. Paired comparison listening tests and circular error rates [J].Acta Acusticaunited with Acustica,2002(88):594-598.
[100]毛东兴，高亚丽，愈悟周，王佐民.声品质主观评价的分组成对比较法研究[J].声学学报，2005,30(6)：515-520.
[101]高亚丽，毛东兴.车内声品质成对比较法改进性实验设计[C].中国声学学会2003年青年学术会议，济南，2003：365-367.
[102] ANSI S12.2-1995. Criteria for Evaluation Room Noise. American National Standard
[103]黄煜，陈克安，闫靓，吴群力.自适应分组成对比较法：原理及种子的选择[J].声学学报，2008，33（5）：443-449.
[104] Glickman M E, Jensen S T. Adaptive paired comparison design [J].Jstatist Plann andinference
[105] Kendall M G, Smith B B. On the method of paired comparisons [J].Biometrika,1940,31(3/4):324-345.
[106] Kendall M G. Further contributions to the theory of paired comparisons [J].Biometrika,1955,11(1):43-62.
[107]毛东兴，愈悟周，王佐民。声品质成对比较主观评价的数据检验及判据[J]。声学学报，2005；30（5）：468-472。
[108] Bradley R A，Terry M E，The rank analysis of ineomplete bloke designs.1.The methodof Paired comparisons.Biometrika，1952;39(4):324一345
[109] Rainer Guski.Psychological methods for evaluating sound quality and assessingacoustic information[J]. Acustica/Acta Acoustica,1997,83(5):765-773.
[110] Zwicker E, Fastl H. Psychoacoustics: facts and methods.2nd. Berlin: Springer-Verlag;1999.
[111]薛薇.基于SPSS的数据分析.北京:中国人民大学出版社，2007.
[112] Lemaitre G, Susini P. Perceptual characterization of the timbre of carhorns[C]. Séville,Espagne: EAA congress,2002.
[113]章文波，陈艳红.实用数据统计分析及SPSS12.0应用.北京:人民邮电出版社，2006.
[114] Brandl F K, Werner B. A New Tool for the Onboard Objective Assessment of VehicleInterior Noise Quality. SAE International,1999-01-1695.
[115]元昌安.数据挖掘原理与SPSS Clementine应用宝典.北京:电子工业出版社,2009.
[116]孙强.基于人工神经网络的汽车声品质评价与应用研究.[D].长春:吉林大学，2010.
[117]刘宗巍.基于发动机转速的车内噪声自适应主动控制系统研究.[D].长春:吉林大学，2004.
[118]韩善灵,朱平,林忠钦.主动噪声控制技术及其在车内噪声控制中的应用.机械.2004.31（6）.55-58.
[119]姜吉光，王登峰.频率选择性滤波最小均方算法的研究.硅谷，2012年.
[120]马家义.车用发动机排气噪声有源主动控制管道模拟研究[D].长春：吉林大学，2009.
[121]吴镇扬.数字信号处理的原理与实现.东南大学出版社.2002.150-162.
[122] Roberto Cristi.Modern Digital Signal Processing.现代数字信号处理.机械工业出版社.2005.133-147.
[123]张立材等.数字信号处理.北京邮电大学.2004.163-185.
[124]陈端石，关元洪.噪声主动控制研究的发展与动向.应用声学，2001，20（4）
[125]郭英.噪声中宽带弱信号提取方法研究[D].西安：西北工业大学，1996.
[126] Nelson, P. A. Active Control of Sound. Academic Press, second printing,1994.
[127]余建华.主动噪声控制技术（ANC）在商用车上的应用.汽车技术，2011，第3期.
[128]崔锦泰(美)，程正兴译.小波分析导论.西安交通大学出版社，1995.
[129]王嘉梅.基于MATLAB的数字信号处理与实践开发.西安电子科技大学出版社.2007.
[130] S.Mallat，Multifrequency channel decompositions of images andwaveletmodels，IEEEtrans.Aeoust.SPeeeh Signal Proeessing Vol.37Dee.1989
[131]刘贵忠，邸双亮.小波分析及其应用.西安电子科技大学出版社.1992.
[132] S.Mallat, A theory for multiresolution signal decomposition: The waveletrepresentation, IEEE trans. Patt. Anal. Machine Intell., Vol.11,No.7,1989.pp.674-93
[133] K.R.eastleman.DigitalImaeessing.北京:电子工业出版社，1998.9
[134]王嘉梅.基于MATLAB的小波变换信号消噪处理.无线电通信技术，2001.
[135] Harris.R.W, Chabries.D. M, Bishop.F.A等著。一种变步（VS）的自适应滤波算法[M]. IEEE期刊。 ASSP的34（1986）,309-316。
[136] Aboulnasr.T, Mayyas.K等著。一种鲁棒变步长LMS算法：分析与模拟[J]。IEEE期刊。45（1997），631-639。
[137] Paulo S. R. Diniz. Adaptive Filtering Algorithms and PracticalImplementation.电子工业出版社.2004.48-50.
[138] Mathews.V. J, Cho.S著。随机梯度自适应滤波器改进的收敛性分析使用符号算法[J]. IEEE期刊。 ASSP的35（1987），450-454。
[139]刘剑.基于FXLMS算法的窄带主动噪声控制系统性能分析研究[D].哈尔滨：哈尔滨工业大学，2011
[140]胡啸,胡爱群,程石.一种窄带主动噪声控制系统次声学路径建模技术.电路与系统学报.2003.8(6).44-47.
[141]任辉,黎中伟等.主动噪声控制声学通道的实验辨识。声学学报.1995.16(3).36-40.
[142] Wang Dengfeng, Liu Zongwei, Chang Zhenchen and Liu Xueguang. Study onAdaptive Active Control of Unstable Noise in Vehicle，2006，CMESM2006Paper：413～418
[143]姚天任.现代数字信号处理[M].武汉：华中理工大学.2002.
[144] C805lF120型单片机技术手册，美国Cygnal公司，2003.
[145] ADS8364Data Sheet U.S.A Texas Instruments．JUNE，2002．
[146]刘书明，聂丽斌，余爱民．ADS8364的原理及应用[J]．国外电子元器件，2002，(10)：43-44．
[147]谭恒．高精度多通道ＡＤ芯片ＡＤＳ８３６４及其在有源电力滤波器中的应用
［Ｊ］．电子科技，２００５（７）：１－５
[148]刘国营,刘俊,李杰.基于ADS8364和DSP的高精度数据采集系统设计[J].微计算机信息,2007,23:190-191.
[149]喻小虎．高精度Ａ／Ｄ转换芯片ＡＤＳ８３６４在数据采集系统中的应用
［Ｊ］．计算机应用，２００５（６）：５４－５５．
[150]文鹏，荆涛，李兴华.基于ADS8364的多路数据采集卡设计[J].电信快报，2005(4):24～26.
[151]武洪恩,张承瑞,胡天亮.非圆数控车削基于DSP的直线电机控制器设计[J].制造技术与机床,2007(3):21-24.
[152]苏宏志，高文华.基于DSP交流伺服位置控制系统的研究［J］.机电产品开发与创新，2006，19（2）：139-141.
[153]韩峰，李义军. Nyquist采样频率下的频谱失真与采样定理.内蒙古工业大学学报，2002，Vol.21,No.4
[154] David E Johnson.Rapid Practical Designs of Active Filters.有源滤波器的快速实用设计.人民邮电出版社.1980.
[155] DigitallyControlledPotentimoeterXgC102/103/104/503.XieorIne.
[156]王忠福.高精度称重变送器设计[D].大连:大连理工大学，2005
[157]谢瑞和.串行技术大全[M].北京:清华大学出版社,2003:1-4.
[158]Jerry Luecke.The MSP430instruction set[J].Analog and Digital Circuits for ElectronicControl System Applications.2005:200-259.
[159]叶苗康.集成电路CD40106的灵活应用.器件园地，1997，9.
[160]韩峰，李义军. Nyquist采样频率下的频谱失真与采样定理.内蒙古工业大学学报，2002，Vol.21,No.4
[2]钱燕.客车车内噪声的主动控制技术研究[D].南京:南京林业大学.2006.
[3]鲁卡宁.汽车噪声控制.机械工业出版社.1988.16-22.
[4]王峻廷.车内噪声主动控制的选择性消声方法研究[D].长春:吉林大学，2008.
[5]孙强.基于人工神经网络的汽车声品质评价与应用研究[D].长春:吉林大学，2010.
[6] J. Blauert. Product-sound assessments: An enigmatic issue from the point of view ofengineering. Proc. internoise94, Yokohama, Japan,1994;2:857-862
[7]姜吉光.基于噪声主动控制方法的车内声品质研究[D].长春:吉林大学，2007.
[8] L. N. Solomon. Semantic reactions to systematically varied sounds. J. Acta Acusticaunited with Acustica,1995;31:986-990.
[9] N. Chouard, T. Hempel. A semantic differential design especially developed for theevaluation of interior car sounds. ASA-EAA-DAGA Joint Meeting, Berlin, Germany,1999.
[10]. S. Buss et al. Combing methods to evaluate sound quality. The2000internationalCongress and Exhibition on Noise Control Engineering, Nice, France,2000.
[11] R. Bisping. Emotional effect of car interior sounds: pleasantness and power and theirrelation to acoustic key features. SEA paper951284,1995:1203-1209.
[12] M. JHussain, J. Golles, A. Ronacher, H. Schiffbanker. Statistical evaluation of anannoyance index for engine noise recordings. SAE Technical Paper Series911080,1991.
[13]. Amman, Scott; Greenberg, Jeff. Subjective evaluation and objective quantification ofautomobile strut noise. Noise control Eng. J.47(1),1999:17-27.
[14] Naoki Sato and Yasuo Miura. Study on Exterior Idling Sound Quality EvaluationMethod for Diesel Engine Trucks. SAE TECHNICAL PAPER SERIES.1999-01-1739.
[15] Lim T C. Correlations between deficiencies in power window systems influencingsound quality and some psychoacoustic metrics[J]. Applied Acoustics,2001,62(9):1025-1047.
[16] Zhang L, Champagne A. Toward an objective understanding of perceived gloveboxclosure sound quality[C]. Traverse City: SAE Noise and Vibration Conference andExhibition,2003-01-1499.
[17] M.-A. Gulbol,M. Kleiner. Affective Evaluations of and Reactions to Exterior andInterior Vehicle Auditory Quality. Journal of Sound and
[19] Sung-Jong Kim, Sang Kwon Lee, Dong-Chul Park, Min-Sub Lee, Seung-Gyoon Jung.Objective evaluation for the passenegr car during acceleration based on the soundmetric and artificial neural network [J] SAE Technical Paper, No.2007-01-2396.
[20] Paulraj M P, Sazali Yaacob, Allan Melvin Andrew.Vehicle Noise Comfort LevelIndication:A Psychoacoustic Approach.20106th International Colloquium on SignalProcessing&Its Applications.
[21] Ryota Nakasaki, Hiroshi Hasegawa and Masao Kasuga. Subjective evaluation of soundimages of air-conditioning system in a vehicle. Acoust. Sci.&Tech.32,4(2011).
[22] M Hussain, J Golles, A Ronacher, HSchiffbanker. Statistical evaluation of anannoyance index for engine noise recordings [J].SAE Technical Paper, No.911080,1991.
[23] R. Guski. Psychological for Evaluating Sound Quality and Assessing AcousticInformation. Acta Acustica united with Acustica,1997;83(5):765-774.
[24] R. Heinrichs, M. Booden. Perceptual and instrumental description of the gear-rattlephenomenon FOR DIESEL VEHICLES,6THInt. Congress on Sound and Vibration,Copenhagen Denmark,1999:3103-3112.
[25] M. Bodden, R. Heinrichs. Analysis of the time structure of gear rattle In Proceedings ofthe Internoise99, Fort Lauderdale, USA,1999:1273-1278.
[26] T Hashimoto. Sound quality approach on vehicle interior and exteriornoise-Quantification of frequency related attributes and impulsiveness [J]. Journal ofAcoustical Society of Japan (E),2000(21):337-340.
[27] Teik C.Lim. Correlations between deficiencies in power window systems influencingsound quality and some psychoacoustic metrics. Applied Acoustics.62(2001)1025-1047
[28] Otto Martner, Carsten Zerbs, B John Feng. Psychoacoustic model for the objectivedetermination of engine roughness [C].Sound Quality Symposium2002DEARBORN,Michigan：SQS02-35
[29] Pi ero, De Diego. Correlations Between Time-frequency Spectral Characteristics andPsychoacoustic Metrics.[J].SAE Technical Paper
[30] Wouter De Baene. Roughness perception in sounds: behavioral and ERP evidence.Biological Psychology67(2004)319-330
[31] Sung-Jong Kim, Sang Kwon Lee, Dong-Chul Park, Min-Sub Lee, Seung-Gyoon Jung.Objective evaluation for the passenegr car during acceleration based on the soundmetric and artificial neural network [J] SAE Technical Paper, No.2007-01-2396.
[32] Mohd Jailani Mohd Nor, Mohammad Hosseini Fouladi. Index for vehicle acousticalcomfort inside a passenger car. Applied Acoustics69(2008)343-353.
[33] Su-Won Jang,Cheol-Ho Jeong. A Study on the Sound Quality Evaluation Model ofMechanical Air-Cleaners. Journal of Vibration and Acoustics, JUNE2009, Vol.131.
[34] W.-H. CHO, J.-G. IH, S.-H. SHIN. QUALITY EVALUATION OF CAR WINDOWMOTORS USING SOUNDQUALITY METRICS. International Journal of AutomotiveTechnology, Vol.12, No.3, pp.443450(2011).
[35]闫靓,陈克安.一种新的环境声质量评价方法[J].声学技术,2003(2):322-324.
[36]毛东兴,高亚丽,等.声品质主观评价的分组成对比较法研究[J].声学学报,2005,30(6):515-520.
[37]毛东兴.车内声品质主观评价与分析方法的研究[D].上海：同济大学,2003.
[38]焦风雷，刘克.噪声控制领域的声品质研究简述:Ⅱ主观评价.2003全国环境声学学会、电磁辐射环境学术会议论文集.2003
[39]刘克，焦风雷.噪声控制领域的声品质研究简述:Ⅰ客观评价.2003全国环境声学学会、电磁辐射环境学术会议论文集.2003
[40]焦风雷，刘克，毛东兴.运用多维尺度分析进行噪声品质的主观评价.声学技术，Vol.23,2004:95-96
[41]张伟，蒋伟康.基于心理声学分析的车内异响噪声辨识.汽车工程，2003，Vol.25，No.6
[42]宋恩栋.汽车声品质评价流程与软件系统开发的研究[D].合肥：合肥工业大学,2009.
[43]陈迎春，王岩松.基于小波和匹配跟踪两种降噪方法的比较研究.辽宁工学院学报，2007年02期.
[44]胡国强,陈晓东,孙柏林,等.4缸柴油机怠速噪声及声品质优化研究[J].内燃机工程,2009,(4):78-81,86.
[45]申秀敏,左曙光.基于支持向量机的车内噪声声品质预测.振动、测试与诊断,2011年2月第31卷第1期.
[46]姜吉光，王登峰，苏丽俐，谭刚平.车内噪声品质偏好性主客观评价及相关性分析.汽车技术，2012年第8期，6～10.
[47]苏丽俐，王登峰，姜吉光.基于语义细分的车内声品质模糊综合评价.吉林大学学报（工学版）,2012年3月，第42卷第2期.
[48]王登峰，刘宗巍，梁杰，王世刚，姜吉光.车内噪声品质的主观评价试验与客观量化描述研究.吉林大学学报（工学版），2006，增刊2：41～45
[49]刘宗巍，王登峰，梁杰.车内噪声声质量的主观评价及其改善措施的研究与发展.汽车技术，2006，7
[50]刘学广，王登峰，刘宗巍，梁杰.车内多次级声源自适应有源消声研究.农业机械学报，2005，36（2）：27～30
[51]刘学广，王登峰，刘宗巍，张洪超.基于动态神经网络（DNN）的多通道有源消声仿真分析.长春理工大学学报，2006，29（3）：23～26
[52]王登峰，刘学广，刘宗巍，梁杰.基于发动机转速的车内有源消声控制策略和自适应算法.公路交通科技，2004，10：126～129
[53]王登峰，刘学广，刘宗巍，梁杰.车内自适应有源消声系统次级声源布放试验.中国公路学报，2006，19（3）：122～126
[54]刘宗巍,王登峰,姜吉光.用主动噪声控制法改善车内声品质.吉林大学学报(工学版),2008年3月，第38卷第2期.
[55] Lueg P. Process of silencing sound oscillations[P]. United States, Patent2043416,1936.
[56]H.L.olson，E.G.May.“Eleetronie sound absorber”[J].Journal of the Aeoustieal Soeietyof America，Vol25，No6:1130一1136，1953
[57]刘恩泽，严济宽，陈端石.噪声主动控制系统研究概况及发展趋势.噪声与振动控制，1999，（3）
[58]徐永成等.有源消声技术与应用评述.国防科技大学学报，2001，23（2）
[59] Nelson P A, Elliott S J. Active control of sound[M]. Academic Press, London,1992.
[60] Manpeil Tamamura,Eiji Shibata. Applieation of active noise control for engine relatedcabin noise. JSAE Review.1996.17.
[61] Jerome Couche. Active control of automobile cabin noise with conventional andadvanced speakers. master thesis，Virginia,1999.
[62] Sano H, Inoue T, Takahashi A, et al. Active control system for low-frequency roadnoise combined with an audio system[C]. IEEE Trans. Speech and Audio Processing9,2001:755-763.
[63] A Gonzalez，M Ferrer. Sound quality of low-frequency and car engine noises afteractive noise control. Journal of Sound and Vibration.2003.265(3).
[64] S. M. Kuo, Abhijit Gupta and Sridevi Mallu. Development of Adaptive Algorithm forActive Sound Quality Control. Journal of Sound and Vibration
[65]D. Zhou, V. DeBrunner. A New Active Noise Control Algorithm That Requires NoSecondary Path Identification Based on the SPR Property[J]. IEEE Trans. SignalProcess,2007,55(5):1719–1729.
[66] C. Chang, D. Chen. Active Noise Cancellation without Secondary Path Identificationby Using an Adaptive Genetic Algorithm[J]. IEEE Trans. Instrumentation andMeasurement,2010,59(9):2315–2327.
[67]袁明.虚拟仪器环境下前馈自适应噪声主动控制方法研究[D].南京:南京航空航天大学，2009.
[68] Joachim Scheuren, Ulrich Widmann and Jens Winkler. Active Noise Control and SoundQuality Design in Motor Vehicles. SAE Paper,1999-01-1846
[69] Woon-Seng Gan. Applying Equal-loudness Compensation to the Adaptive Active NoiseControl. Applied Acoustics,61(2000),183-187
[70] A. Gonzalez, M. Ferrer, M. de Diego, G. Pinero and J. J. Garcia-Bonito. Sound Qualityof Low-frequency and Car Engine Noises after Active Noise Control. Journal of Soundand Vibration,265(2003),663-679
[71] Sen M. Kuo, Ravi K. Yenduri. Frequency-domain delayless active sound qualitycontrol algorithm. Journal of Sound and Vibration.318(2008)715–724
[72] Leopoldo P.R.deOliveira, Karl Janssens. Active sound quality control of engineinduced cavity noise. Mechanical Systems and Signal Processing.23(2009)476–488.
[73] Hua Bao,Issa M.S. Panahi. Psychoacoustic Active Noise Control with ITU-R468Noise Weighting and its Sound Quality Analysis.32nd Annual InternationalConference of the IEEE EMBS Buenos Aires, Argentina, August31-September4,2010
[74]陈克安，马远良.自适应宽带有源消声.声学学报.1994.19（2）.101-109.
[75]姜吉光，王登峰.基于频率选择性滤波的归一化最小均方算法研究.科学技术与工程.2012，第12卷，第12期，2874～2878.
[76] Paterson R.D. The sound of a sinusoid: time-interval models[J]. JASA,1994,96(3):1419-1428.
[77] Schroeder M, Atal B, Hall J. Optimizing speech coders by exploitingmaskingproperties of the human ear[J]. JASA,1979,66(6):1647-1652.
[78] Zwicker E, Terhardt E. Analytical expressions for critical bandwidth as afunction offrequency[J]. JASA,1980,68(5):1523-1525.
[79] Paterson R D. The sound of a sinusoid: spectral models[J]. JASA,1994,96(3):1409-1418.
[80]饶伟.车内声品质评价模型的建立及应用研究[D].长春:吉林大学，2008.
[81]马大猷.语言信息和语言通信[M].北京:知识出版社,1987.
[82]葆源,张厚,陈舒永,等.实验心理学[M].北京:北京大学出版社,1983.
[83]谢鼎华,杨伟炎,韩德民.耳聋的基础与临床[M].长沙:湖南科技出版社,2004.
[84]马大猷,沈豪.声学手册[M].北京:科学出版社,2004.
[85]黄选兆,汪吉宝.实用耳鼻咽喉科学[M].北京:人民卫生出版社,1998.
[86]牟海龙.国产轿车非稳态状况下声音品质的研究[D].长春:吉林大学，2009.
[87] Zwicker E, Fastl H. Psychoacoustics: Facts and Models [M].2nd ed.New York:Springer,1999.
[88]刘宗巍.车内噪声声品质建模分析与自适应主动控制研究[D].长春:吉林大学，2007.
[89] Brian C. J. Moore. An Introduction to the Psychology of Hearing. Academic Press, SanDiego,1997, Third Ed.
[90] Fletcher H. Auditory Patterns. Rev. Mod. Phys,1940,12,47～65
[91] Blauert,J.Spatial Hearing.MIT Press,Carnbridge,Mass,1983.
[92] Schiffbanker, Hussain. Development and Application of an Evaluation Technique toAssess the Subjective Character of Engine Noise. SAE Paper,911081
[93] Bodden M, Heinrichs. Sound Quality Evaluation of Interior Vehicle Noise Using anEfficient Psychoacoustic Method. Proc. of Euronoise,1998
[94] Kousuke Noumura, Junji Yoshida. Perception Modeling and Quantification of SoundQuality in Cabin. SAE paper,2003-01-1514
[95] International standard organization. ISO-532-1975. Acoustics-Method for calculatingloudness level[S].1975.
[96] Mφller H, Sφrensen M F, Hammershφi D, et al. Head-related transfer functions ofhuman subjects [J].J Audio Eng Soc,1995,43(5):300-321.
[97] Zwicker E, Fastl H. Psychoacoustics, facts and models[M]. Berlin: SpringerVerlag,1999.
[98] Otto N. A subjective evaluation and analysis of automotive starter sounds [J].NoiseControl Engineering Journal,1993(41):377-382.
[99] Parizet E. Paired comparison listening tests and circular error rates [J].Acta Acusticaunited with Acustica,2002(88):594-598.
[100]毛东兴，高亚丽，愈悟周，王佐民.声品质主观评价的分组成对比较法研究[J].声学学报，2005,30(6)：515-520.
[101]高亚丽，毛东兴.车内声品质成对比较法改进性实验设计[C].中国声学学会2003年青年学术会议，济南，2003：365-367.
[102] ANSI S12.2-1995. Criteria for Evaluation Room Noise. American National Standard
[103]黄煜，陈克安，闫靓，吴群力.自适应分组成对比较法：原理及种子的选择[J].声学学报，2008，33（5）：443-449.
[104] Glickman M E, Jensen S T. Adaptive paired comparison design [J].Jstatist Plann andinference
[105] Kendall M G, Smith B B. On the method of paired comparisons [J].Biometrika,1940,31(3/4):324-345.
[106] Kendall M G. Further contributions to the theory of paired comparisons [J].Biometrika,1955,11(1):43-62.
[107]毛东兴，愈悟周，王佐民。声品质成对比较主观评价的数据检验及判据[J]。声学学报，2005；30（5）：468-472。
[108] Bradley R A，Terry M E，The rank analysis of ineomplete bloke designs.1.The methodof Paired comparisons.Biometrika，1952;39(4):324一345
[109] Rainer Guski.Psychological methods for evaluating sound quality and assessingacoustic information[J]. Acustica/Acta Acoustica,1997,83(5):765-773.
[110] Zwicker E, Fastl H. Psychoacoustics: facts and methods.2nd. Berlin: Springer-Verlag;1999.
[111]薛薇.基于SPSS的数据分析.北京:中国人民大学出版社，2007.
[112] Lemaitre G, Susini P. Perceptual characterization of the timbre of carhorns[C]. Séville,Espagne: EAA congress,2002.
[113]章文波，陈艳红.实用数据统计分析及SPSS12.0应用.北京:人民邮电出版社，2006.
[114] Brandl F K, Werner B. A New Tool for the Onboard Objective Assessment of VehicleInterior Noise Quality. SAE International,1999-01-1695.
[115]元昌安.数据挖掘原理与SPSS Clementine应用宝典.北京:电子工业出版社,2009.
[116]孙强.基于人工神经网络的汽车声品质评价与应用研究.[D].长春:吉林大学，2010.
[117]刘宗巍.基于发动机转速的车内噪声自适应主动控制系统研究.[D].长春:吉林大学，2004.
[118]韩善灵,朱平,林忠钦.主动噪声控制技术及其在车内噪声控制中的应用.机械.2004.31（6）.55-58.
[119]姜吉光，王登峰.频率选择性滤波最小均方算法的研究.硅谷，2012年.
[120]马家义.车用发动机排气噪声有源主动控制管道模拟研究[D].长春：吉林大学，2009.
[121]吴镇扬.数字信号处理的原理与实现.东南大学出版社.2002.150-162.
[122] Roberto Cristi.Modern Digital Signal Processing.现代数字信号处理.机械工业出版社.2005.133-147.
[123]张立材等.数字信号处理.北京邮电大学.2004.163-185.
[124]陈端石，关元洪.噪声主动控制研究的发展与动向.应用声学，2001，20（4）
[125]郭英.噪声中宽带弱信号提取方法研究[D].西安：西北工业大学，1996.
[126] Nelson, P. A. Active Control of Sound. Academic Press, second printing,1994.
[127]余建华.主动噪声控制技术（ANC）在商用车上的应用.汽车技术，2011，第3期.
[128]崔锦泰(美)，程正兴译.小波分析导论.西安交通大学出版社，1995.
[129]王嘉梅.基于MATLAB的数字信号处理与实践开发.西安电子科技大学出版社.2007.
[130] S.Mallat，Multifrequency channel decompositions of images andwaveletmodels，IEEEtrans.Aeoust.SPeeeh Signal Proeessing Vol.37Dee.1989
[131]刘贵忠，邸双亮.小波分析及其应用.西安电子科技大学出版社.1992.
[132] S.Mallat, A theory for multiresolution signal decomposition: The waveletrepresentation, IEEE trans. Patt. Anal. Machine Intell., Vol.11,No.7,1989.pp.674-93
[133] K.R.eastleman.DigitalImaeessing.北京:电子工业出版社，1998.9
[134]王嘉梅.基于MATLAB的小波变换信号消噪处理.无线电通信技术，2001.
[135] Harris.R.W, Chabries.D. M, Bishop.F.A等著。一种变步（VS）的自适应滤波算法[M]. IEEE期刊。 ASSP的34（1986）,309-316。
[136] Aboulnasr.T, Mayyas.K等著。一种鲁棒变步长LMS算法：分析与模拟[J]。IEEE期刊。45（1997），631-639。
[137] Paulo S. R. Diniz. Adaptive Filtering Algorithms and PracticalImplementation.电子工业出版社.2004.48-50.
[138] Mathews.V. J, Cho.S著。随机梯度自适应滤波器改进的收敛性分析使用符号算法[J]. IEEE期刊。 ASSP的35（1987），450-454。
[139]刘剑.基于FXLMS算法的窄带主动噪声控制系统性能分析研究[D].哈尔滨：哈尔滨工业大学，2011
[140]胡啸,胡爱群,程石.一种窄带主动噪声控制系统次声学路径建模技术.电路与系统学报.2003.8(6).44-47.
[141]任辉,黎中伟等.主动噪声控制声学通道的实验辨识。声学学报.1995.16(3).36-40.
[142] Wang Dengfeng, Liu Zongwei, Chang Zhenchen and Liu Xueguang. Study onAdaptive Active Control of Unstable Noise in Vehicle，2006，CMESM2006Paper：413～418
[143]姚天任.现代数字信号处理[M].武汉：华中理工大学.2002.
[144] C805lF120型单片机技术手册，美国Cygnal公司，2003.
[145] ADS8364Data Sheet U.S.A Texas Instruments．JUNE，2002．
[146]刘书明，聂丽斌，余爱民．ADS8364的原理及应用[J]．国外电子元器件，2002，(10)：43-44．
[147]谭恒．高精度多通道ＡＤ芯片ＡＤＳ８３６４及其在有源电力滤波器中的应用
［Ｊ］．电子科技，２００５（７）：１－５
[148]刘国营,刘俊,李杰.基于ADS8364和DSP的高精度数据采集系统设计[J].微计算机信息,2007,23:190-191.
[149]喻小虎．高精度Ａ／Ｄ转换芯片ＡＤＳ８３６４在数据采集系统中的应用
［Ｊ］．计算机应用，２００５（６）：５４－５５．
[150]文鹏，荆涛，李兴华.基于ADS8364的多路数据采集卡设计[J].电信快报，2005(4):24～26.
[151]武洪恩,张承瑞,胡天亮.非圆数控车削基于DSP的直线电机控制器设计[J].制造技术与机床,2007(3):21-24.
[152]苏宏志，高文华.基于DSP交流伺服位置控制系统的研究［J］.机电产品开发与创新，2006，19（2）：139-141.
[153]韩峰，李义军. Nyquist采样频率下的频谱失真与采样定理.内蒙古工业大学学报，2002，Vol.21,No.4
[154] David E Johnson.Rapid Practical Designs of Active Filters.有源滤波器的快速实用设计.人民邮电出版社.1980.
[155] DigitallyControlledPotentimoeterXgC102/103/104/503.XieorIne.
[156]王忠福.高精度称重变送器设计[D].大连:大连理工大学，2005
[157]谢瑞和.串行技术大全[M].北京:清华大学出版社,2003:1-4.
[158]Jerry Luecke.The MSP430instruction set[J].Analog and Digital Circuits for ElectronicControl System Applications.2005:200-259.
[159]叶苗康.集成电路CD40106的灵活应用.器件园地，1997，9.
[160]韩峰，李义军. Nyquist采样频率下的频谱失真与采样定理.内蒙古工业大学学报，2002，Vol.21,No.4