Effect of sparsity on speech compressed sensing

被引：0

作者：

Bala, Sonu ^{[1
]}

Arif, Mohammad ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect & Commun Engn, Kurukshetra 136119, Haryana, India

来源：

2015 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC) | 2015年

关键词：

Compressed sensing; Discrete Cosine Transform (DCT); Discrete Sine Transform (DST); Discrete Fourier Transform (DFT); Hadamard Transform (HT); Incoherence; Sparsity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, first a compressed sensing framework is applied on the speech signals and then a comparison is made on the sparsity levels achieved by applying discrete transform such as DFT, DCT, DST and HT. These discrete transforms based compressed sensing algorithms are applied on speech signal and corresponding speech signals are reconstructed. Finally the performance comparison of these discrete transforms is assessed from the reconstructed speech signal quality.

引用

页码：81 / 86

页数：6

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