Paper Info
Title
Transient modeling by matching pursuits with a wavelet dictionary for parametric audio coding
Abstract
In this letter, we propose a novel matching pursuit-based method for transient modeling with application to parametric audio coding. The overcomplete dictionary for the matching pursuit is composed of wavelet functions that implement a wavelet-packet filter bank. The proposed transient modeling method is suitable to be integrated into a parametric audio coder based on the three-part model of sines, transients, and noise (STN model). Comparative analysis between wavelet and exponentially damped sinusoidal functions are shown in experimental results. The mean-squared-error performance of the proposed approach is better than that obtained with damped sinusoids.
Year
DOI
Venue
2004
10.1109/LSP.2003.822904
Signal Processing Letters, IEEE
Keywords
Field
DocType
audio coding,channel bank filters,iterative methods,mean square error methods,wavelet transforms,audio coding,exponentially damped sinusoidal function,matching pursuit-based method,mean-squared-error performance,parametric audio coder,sine-transient-noise three-part model,transient modeling method,wavelet dictionary,wavelet function,wavelet-packet filter bank
Matching pursuit,Pattern recognition,Computer science,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet
Journal
Volume
Issue
ISSN
11
3
1070-9908
Citations 
PageRank 
References 
15
1.32
6
Authors
5
Name
Order
Citations
PageRank
Pedro Vera-Candeas1598.32
Nicolás Ruiz-Reyes2446.51
Manuel Rosa-Zurera319236.27
Martinez-Munoz, D.4264.31
F. Lopez-Ferreras523412.16