DocumentCode
2543353
Title
Basis picking for matching pursuits audio compression
Author
Monro, D.M.
Author_Institution
Dept. of Electron. & Electr. Eng., Bath Univ.
fYear
2006
fDate
21-24 May 2006
Abstract
The ´basis picking´ algorithm is an effective method for selecting dictionaries of basis functions for coding of data by matching pursuits. For illustration, bases are picked for a hybrid wavelet/matching pursuits audio codec. Bases are added to a codebook successively from a set of 1289 candidates according to their ranked signal to residual ratio (SRR) performance. Two training sets are used, and the codebooks are evaluated on the training sets and two test sequences. Picked bases make a robust codebook, the best of which outperforms traditional selection by ranked frequency of usage by a significant margin over a range of compressions of the audio clips used in this study
Keywords
audio coding; codecs; data compression; audio clips; audio codec; audio compression; basis functions; basis picking; codebook; hybrid wavelet; matching pursuits; signal to residual ratio; test sequences; training sets; Audio compression; Bandwidth; Bit rate; Codecs; Dictionaries; Frequency; Image coding; Matching pursuit algorithms; Pursuit algorithms; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location
Island of Kos
Print_ISBN
0-7803-9389-9
Type
conf
DOI
10.1109/ISCAS.2006.1693252
Filename
1693252
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