DocumentCode
1845611
Title
Fast basis selection methods
Author
Cotter, Shane E. ; Murthi, Manohar N. ; Rao, B.D.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume
2
fYear
1997
fDate
2-5 Nov. 1997
Firstpage
1474
Abstract
In this paper three methods of basis selection are considered: basic matching pursuit (BMP), order recursive matching pursuit (ORMP) and modified matching pursuit (MMP). These algorithms are briefly described and particular attention is paid, in the formulation of these algorithms, to the computation required. Fast versions of the algorithms are developed. The algorithms are evaluated in terms of their ability to produce a sparse solution and also in terms of their computational complexity and the storage necessary to implement them. Complexity-wise, BMP and MMP are shown to be comparable while ORMP is the most complex. In terms of their ability to select basis vectors, ORMP was the best followed by MMP and then BMP.
Keywords
combinatorial mathematics; computational complexity; signal representation; sparse matrices; BMP; MMP; ORMP; basic matching pursuit; computational complexity; fast basis selection methods; formulation; modified matching pursuit; order recursive matching pursuit; sparse solution; storage; Algorithm design and analysis; Computational complexity; Filters; Matching pursuit algorithms; Pursuit algorithms; Signal design; Speech coding; Time frequency analysis; Vectors; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-8316-3
Type
conf
DOI
10.1109/ACSSC.1997.679149
Filename
679149
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