Title :
Lossless audio coding based on high order context modeling
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
Abstract :
Lossless audio coding has become a significant research topic. Most of coding methods are based on linear prediction and Huffman coding or Rice coding is used for entropy coding. We present a new lossless audio coding where the high order context modeling is used for the entropy coding. The linear prediction is first applied to the original audio signal with prediction error feedback. The prediction errors are entropy coded using conditional probabilities so that the coding performance can be improved
Keywords :
Huffman codes; audio coding; data compression; entropy codes; feedback; linear predictive coding; probability; Huffman coding; Rice coding; audio signal; coding performance; conditional probabilities; entropy coding; high order context modeling; linear prediction; lossless audio coding; prediction error feedback; Audio coding; Context modeling; DVD; Entropy coding; Feedback; Finite impulse response filter; Huffman coding; Predictive models; Random processes; Signal processing;
Conference_Titel :
Multimedia Signal Processing, 2001 IEEE Fourth Workshop on
Conference_Location :
Cannes
Print_ISBN :
0-7803-7025-2
DOI :
10.1109/MMSP.2001.962794