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ICASSP
2007
IEEE

Quantized Sparse Approximation with Iterative Thresholding for Audio Coding

9 years 7 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 approximation with coefficient quantization. This method uses overcomplete dictionaries and exploits signal redundancy. The proposed method will be derived as an extension of a recently presented method (iterative thresholding) to find sparse representations of signals. Because in digital communication and storage we need a quantized representation of the signal, instead of quantization of sparse representations a posteriori, we propose a refined method that combines sparse approximation and quantization. To compare the proposed method to a posteriori quantization, we present an audio example.
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davie
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where ICASSP
Authors Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
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