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Since the value of an audio sample is dependent upon the value of its neighbors, the reduction of redundancy in audio signals is achieved by the use of a predictive coding technique. After reviewing several prediction coding methods, a multistage approach, optimized for the requirements of a real-time implementation, is presented. A short review of the entropy computation is given as an introduction. Resulting charts are given to illustrate the compression ratios obtained in comparison with the entropy of the computed signals.
Author (s): Cellier, Claude; Chenes, Pierre; Rossi, Mario
Affiliation:
Merging Technologies, Chexbres, Switzerland ; Swiss Federal Institute of Technology, Lausanne, Switzerland
(See document for exact affiliation information.)
AES Convention: 95
Paper Number:3780
Publication Date:
1993-10-06
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Session subject:
Perceptual Coding
Permalink: https://aes2.org/publications/elibrary-page/?id=6453
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Cellier, Claude; Chenes, Pierre; Rossi, Mario; 1993; Lossless Audio Data Compression for Real-Time Applications [PDF]; Merging Technologies, Chexbres, Switzerland ; Swiss Federal Institute of Technology, Lausanne, Switzerland; Paper 3780; Available from: https://aes2.org/publications/elibrary-page/?id=6453
Cellier, Claude; Chenes, Pierre; Rossi, Mario; Lossless Audio Data Compression for Real-Time Applications [PDF]; Merging Technologies, Chexbres, Switzerland ; Swiss Federal Institute of Technology, Lausanne, Switzerland; Paper 3780; 1993 Available: https://aes2.org/publications/elibrary-page/?id=6453