|Table of Contents|

[1] Liu Qiangsheng**, Wu Lenan,. Compete Matching Pursuits Algorithm* [J]. Journal of Southeast University (English Edition), 2002, 18 (1): 24-27. [doi:10.3969/j.issn.1003-7985.2002.01.005]
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Compete Matching Pursuits Algorithm*()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
18
Issue:
2002 1
Page:
24-27
Research Field:
Information and Communication Engineering
Publishing date:
2002-03-30

Info

Title:
Compete Matching Pursuits Algorithm*
Author(s):
Liu Qiangsheng** Wu Lenan
Department of Radio Engineering, Southeast University, Nanjing 210096, China
Keywords:
matching pursuit compete matching pursuit overcomplete representations
PACS:
TN911
DOI:
10.3969/j.issn.1003-7985.2002.01.005
Abstract:
Matching pursuits algorithm(MP), as an adaptive signal representation upon overcomplete fundamental waveforms, is a powerful tool in many applications. However, MP suffers from distinguishing a doublet structure. In this paper, the authors proposed an algorithm called compete matching pursuits(CMP), which can overcome this shortcoming and performance very well.

References:

[1] Daubechies I. Ten lectures on wavelets[A].CBS-NSF Regional Conf Series in Appl Math, Society for Industrial and Applied Math [C]. Philadelphia, PA, 1992, 61.
[2] Chen S, Donoho D L. Atomic decomposition by basis pursuit[J]. SIAM Journal on Scientific Computing, 1998, 20(1):33-61.
[3] Mallat S, Zhang Z. Matching pursuit in a time-frequency dictionary[J], IEEE Transactions on Signal Processing, 1993, 41(12):3397-3415.
[4] Coifman R R, Wickerhauser M V. Entropy-based algorithms for best-basis selection[J]. IEEE Transactions on Information Theory, 1992, 38(2):713-718.
[5] Jaggi S, Carl W C, Mallat S, Willsky A S. High-resolution pursuit for feature extraction[J]. Applied and Computational Harmonic Analysis, 1998, 5(4):428-449.

Memo

Memo:
* The project supported by the National Natural Science Foundation of China(60072013).
** Born in 1973, male, graduate.
Last Update: 2002-03-20