A new method for sparse signal denoising based on compressed sensing

2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009

Volumn 1, Issue , 2009, Pages 35-38

  Zhu, Lei ^a,b   Zhu, Yaolin ^a   Mao, Huan ^a   Gu, Meihua ^a  

^a XI'AN POLYTECHNIC UNIVERSITY   (China)

^b XIDIAN UNIVERSITY   (China)

Author keywords

Compressed sensing; Denoising; Peak distortion; Sparse signal; Transform domain

Indexed keywords

BASIC IDEA; BASIC PRINCIPLES; COMPRESSED SENSING; DE-NOISING; DENOISING METHODS; IMPROVED ALGORITHM; SIGNAL PARAMETERS; SIMULATION EXPERIMENTS; SPARSE SIGNALS;

KNOWLEDGE ACQUISITION; SIGNAL PROCESSING; WAVELET TRANSFORMS;

SIGNAL RECONSTRUCTION;

EID: 77951445634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KAM.2009.25     Document Type: Conference Paper

References (8)

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6. David Donoho, "Compressed sensing, " IEEE Trans. on Information Theory, 52(4), April 2006, pp. 1289-1306.
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8. Emmanuel Candès and Terence Tao, "Near optimal signal recovery from random projections: Universal encoding strategies, " IEEE Trans. on Information Theory, 52(12), December 2006, pp. 5406-5425.