Wavelet de-noising by means of trimmed thresholding

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2004, Pages 1621-1624

  Fang, Hai Tao ^a,b   Huang, De Shuang ^a  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Power spectral analysis; Trimmed thresholding; Wavelet de noising

Indexed keywords

MULTIRESOLUTION ANALYSIS; POWER SPECTRAL ANALYSIS; TRIMMED THRESHOLDING; WAVELET DE-NOISING;

HIGH PASS FILTERS; LOW PASS FILTERS; SIGNAL TO NOISE RATIO; THRESHOLD ELEMENTS; WAVELET TRANSFORMS; WHITE NOISE;

SIGNAL NOISE MEASUREMENT;

EID: 4444318000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. S.Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.11, pp.674-693, 1989.
2. S.Mallat, Characterization of Signals from Mulitiscale Edges, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.14, pp.710-732, 1992.
3. Dai-fei Guo, A study of Wavelet thresholding de-noising, IEEE Proceedings of ICSP, pp.329-332, 2000.
4. D.L.Donoho, De-noising by soft-thresholding, IEEE Trans. on Inf. Theory, 41, 3, pp.613-627, 1995.