一种用于叶蝉鸣声信号的采集与分离方法研究
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摘要
为了解决昆虫声学研究中无法同时对多只昆虫的声音进行采集分析的问题,运用信号采集和盲信号分离的方法,在Mat-lab环境下首次对蝉类混合鸣声信号进行了采集,并使用改进的FastICA方法对混合信号进行预处理,而后使用负熵最大的FastICA算法对预白化处理后的观测信号进行分离。结果表明,该方法可以有效地获取独立的鸣声信号,实现了叶蝉行为观察与信号分析的同步,解决了目前无法同时对多个昆虫鸣声进行采集和分离这一难题,为昆虫声学的进一步研究提出了一个新的思路。
In order to solve the problem that the mixed insects’ sound acquisition and separation cannot be carried out simultaneously in insects’ acoustics,this paper gathers the mixed cicada signals and the mixed signals is proposed for pre-whitening with new FastICA method,then recovers unknown independent sources from pre-whitening observed mixtures for the first time by using the signal acquisition and blind source separation method in Matlab environment.As is shown in the result,this method can obtain the independent source signal effectively,both observing insect behavior and analyzing signal can be conducted at the same time,it solves the difficult problem that the mixed insects’ sound acquisition and separation cannot be carried out simultaneously,this method advances a new train of thought for the further research on insects' acoustics.
In order to solve the problem that the mixed insects’ sound acquisition and separation cannot be carried out simultaneously in insects’ acoustics,this paper gathers the mixed cicada signals and the mixed signals is proposed for pre-whitening with new FastICA method,then recovers unknown independent sources from pre-whitening observed mixtures for the first time by using the signal acquisition and blind source separation method in Matlab environment.As is shown in the result,this method can obtain the independent source signal effectively,both observing insect behavior and analyzing signal can be conducted at the same time,it solves the difficult problem that the mixed insects’ sound acquisition and separation cannot be carried out simultaneously,this method advances a new train of thought for the further research on insects' acoustics.
引文
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[2]赵鹤鸣,葛良,陈雪勤.基于声音定位和听觉掩蔽效应的语音分离研究[J].电子学报,2005,22(8):69-72.
[3]张敬春,谷爱昱.基于盲分离的电机故障诊断[J].电力系统及其自动化学报,2006,18(4):67-70.
[4]钟静,傅彦.基于快速ICA的混合语音信号分离[J].计算机应用,2006,26(5):1121-1124.
[5]姚青,赖凤香,傅强,等.多功能昆虫鸣声信号采集和分析系统及其在褐飞虱鸣声研究[J].中国水稻科学.2004,18(2):171-175.
[6]王娇,王绪本,简兴祥.地震灾害救助系统中声波/振动信号的分离[J].重庆大学学报:自然科学版,1997,20(5):63-67.
[7]Kouwe A J W,Wang D L.A comparison of audiory and blind separation techniques for speech segregation[C]//IEEE Trans2001,SAP-9(3):189-194.
[8]Bell A J,Sejnowaki T.An information approach to blind separation and bind deconvolution[J].Neural Computation,1995,7(6):1129-1159.
[9]Tishechkin D Yu.Acoustic signalization in the leafhopper subfamily typhlocybinae(homoptera:cicadellidae)[J].Nauk(i Mosc),1989,10(12):24-29.
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