DocumentCode
705262
Title
Code excited sample-by-sample gain adaptive coding for lossless compression of audio signals
Author
Yongmin Li ; Cheung-Fat Chan
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
fYear
2010
fDate
23-27 Aug. 2010
Firstpage
482
Lastpage
486
Abstract
A coding algorithm for lossless compression of audio signals is presented. The proposed algorithm consists of a lossy coding part and a lossless coding part. The lossy coding part is based on code excitation approach where the excitation gain and the short-term prediction coefficients are adapted in a sample-by-sample fashion to cope with rapid time-varying nature of audio signals. The error between the input and the code-excited synthetic signal is then encoded by an arithmetic coder to achieve lossless compression. The excitation codebook is searched by using an M-L tree search strategy with minimum error energy and minimum code length after arithmetic coding as search criteria. The proposed coder has very low decoding complexity due to its simple code excitation structure and achieves compression performance comparable to other advanced lossless coders for coding CD quality audio.
Keywords
adaptive codes; arithmetic codes; audio coding; decoding; linear predictive coding; tree searching; CD quality audio; M-L tree search strategy; arithmetic coder; arithmetic coding; audio signal; code excitation approach; code excited sample-by-sample gain adaptive coding; code-excited synthetic signal; decoding complexity; excitation codebook; lossless coding; lossless compression; lossy coding; minimum code length; minimum error energy; search criteria; short-term prediction coefficient; time-varying nature; Complexity theory; Decoding; Entropy; Prediction algorithms; Speech coding; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2010 18th European
Conference_Location
Aalborg
ISSN
2219-5491
Type
conf
Filename
7096535
Link To Document