Robust target feature extraction based on modified cochlear filter analysis model

Yaozhen Wu, Yixin Yang, Feng Tian, Long Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

The performance of underwater target recognition systems depends on the consistency and adaptation of target feature in complex conditions during the training and testing stages. In this paper, we investigated the target feature extraction problems in a complex underwater environment and proposed a novel approach based on modified cochlear filter analysis model of the human auditory system. The frequency responses and distributions of the modified cochlear filter bank are similar to that of the basilar membrane in the cochlea. The fast forward and inverse transforms of modified cochlear filter bank are also presented for discrete-time signals to save the computational load. The experimental results using real ship radiated noise data verified that the modified cochlear filter analysis model is robust in background noise.

源语言英语
主期刊名2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
DOI
出版状态已出版 - 2013
活动2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013 - Kunming, Yunnan, 中国
期限: 5 8月 20138 8月 2013

出版系列

姓名2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013

会议

会议2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
国家/地区中国
Kunming, Yunnan
时期5/08/138/08/13

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