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ICASSP
2007
IEEE
13 years 10 months ago
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding
Sparse coding is a new field in signal processing with possible applications to source coding. In this paper we present a new method that combines the problems of sparse signal a...
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davie...
TASLP
2002
120views more  TASLP 2002»
13 years 4 months ago
Improved audio coding using a psychoacoustic model based on a cochlear filter bank
Perceptual audio coders use an estimated masked threshold for the determination of the maximum permissible just-inaudible noise level introduced by quantization. This estimate is d...
Frank Baumgarte
CISS
2008
IEEE
13 years 10 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell
ICIP
2005
IEEE
14 years 6 months ago
The M-term pursuit for image representation and progressive compression
This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable ...
Adel Rahmoune, Pierre Vandergheynst, Pascal Frossa...