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A comparison of audio coder quantisation schemes that offer fine-grain bitrate scalability is made with reference to fixed-rate quantisation. Coding efficiency is assessed in terms of the number of bits allocated to significant transform coefficients, and the average number of significant coefficients coded. A new method of arranging the transform hierarchy for SPIHT zero tree algorithms is shown to result in significantly improved performance relative to previously reported SPIHT implementations. Results for a new quantisation algorithm are presented which suggest low-complexity fine-grain scalable coding is possible with no coding efficiency penalty relative to fixed-rate coding.
Author (s): Dunn, Chris
Affiliation:
Scala Technology, London, UK
(See document for exact affiliation information.)
AES Convention: 111
Paper Number:5492
Publication Date:
2001-11-06
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Session subject:
Coding of Audio Signals
Permalink: https://aes2.org/publications/elibrary-page/?id=9873
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Dunn, Chris; 2001; Efficient Audio Coding with Fine-Grain Scalability [PDF]; Scala Technology, London, UK; Paper 5492; Available from: https://aes2.org/publications/elibrary-page/?id=9873
Dunn, Chris; Efficient Audio Coding with Fine-Grain Scalability [PDF]; Scala Technology, London, UK; Paper 5492; 2001 Available: https://aes2.org/publications/elibrary-page/?id=9873