Clipping restoration of audio signals based on kernel fisher discriminant and weighted codebook mapping - 文章详情页

作者：

Deng, F. (Deng, F..) | Bao, C. (Bao, C..) | Bao, F. (Bao, F..)

收录：

Scopus PKU CSCD

摘要：

A　new　clipping　restoration　method　of　audio　signals　is　proposed　based　on　kernel　Fisher　discriminant　(KFD)　and　weighted　codebook　mapping　(WCBM)　in　modified　discrete　cosine　transform　(MDCT)　domain.　Firstly,　the　four　clipping　features　are　extracted　according　to　the　MDCT　coefficients　of　audio　signals.　Secondly,　the　clipping　feature　parameters　are　used　to　train　the　optimal　kernel　Fisher　classifier　which　is　employed　to　detect　the　clipping.　Finally,　the　WCBM　of　sub-band　envelop　is　adopted　to　restore　the　clipping　of　audio　signals.　The　test　results　indicate　that　the　proposed　method　can　effectively　remove　the　clipping　distortion　of　audio　signals　and　obviously　outperforms　the　existing　clipping　restoration　methods.

关键词：

Clipping detection; Clipping restoration; Kernel Fisher discriminant; Modified discrete cosine transform; Weighted codebook mapping

作者机构：

[ 1 ] [Deng, F.]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Bao, C.]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Bao, F.]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

通讯作者信息：

[Deng, F.]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

电子邮件地址：

dengfeng@emails.bjut.edu.cn

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