Sparse audio representations using the MCLT

被引：19
|
作者：
Davies, ME
Daudet, L
机构：
[1] Univ London, Queen Mary, Dept Elect Engn, DSP & Multimedia Grp, London E1 4NS, England
[2] Univ Paris 06, Lab Acoust Musicale, F-75015 Paris, France
来源：
SIGNAL PROCESSING | 2006年 / 86卷 / 03期
基金：
英国工程与自然科学研究理事会;
关键词：
lapped transforms; overcomplete dictionaries; sparse coding;
D O I：
10.1016/j.sigpro.2005.05.024
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We consider sparse representations of audio based around the modulated complex lapped transform (MCLT) and a generalized iteratively reweighted least squares algorithm which can be interpreted as a variation of expectation maximization. We compare this mildly overcomplete representation to the more traditional modified discrete cosine transform (MDCT) in terms of coding cost and explore the possibility of extending it to a dual-resolution analysis using a pair of MCLT transforms, illustrating its potential application for audio modification. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：457 / 470
页数：14
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