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Convention Paper

Near Optimal, Low Complexity Arithmetic Coding for Generalized Gaussian Sources

Authors: Ghido, Florin

AES Convention 118 · Paper 6487 · May 2005

Abstract

We propose a near optimal, asymmetrical, low complexity, block-based arithmetic coding algorithm for the prediction residuals produced by lossless or lossy audio compression algorithms. The analysis of real-world prediction residuals motivates the use of a modified two-sided continuous generalized Gaussian distribution, pdf(x)=c(p,s)*exp[-(|x|/s)^p], which is mapped to a discrete distribution. Closed form formulas and fast numerical estimates for the block parameters (p,s) are derived. Using a distribution property, precomputed probability tables are obtained for different values of p, independent of s. The compression performance is within 0.2% of a high complexity, symmetrical coder. For very low complexity codes, an alternate coding algorithm is also proposed, employing only bit output, with comparable performance.

Details

Published in
AES Convention 118
AES Convention
118
Paper number
6487
Publication date
May 6, 2005
Session subject
Audio Recording and Reproduction; High Resolution Audio; Instrumentation and Measurement
Affiliation
University Politehnica of Bucharest (See document for exact affiliation information.)
Type
Convention Paper