Show simple item record

dc.contributor.authorBaraniuk, Richard G.
dc.creatorBaraniuk, Richard G. 2007-10-31T00:35:11Z 2007-10-31T00:35:11Z 1994-11-01 1994-11-01
dc.description Conference Paper
dc.description.abstract The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since linear smoothing suppresses noise at the expense of considerable smearing of the signal components, the author explores two nonlinear denoising techniques based on soft-thresholding in an orthonormal basis representation. Soft-thresholding provides considerable noise reduction without greatly impairing the time-frequency resolution of the denoised distribution.
dc.language.iso eng
dc.subject.otherDSP for Communications
dc.title Wavelet Soft-Thresholding of Time-Frequency Representations
dc.type Conference paper 2006-06-12
dc.citation.bibtexName inproceedings 2006-06-12
dc.contributor.orgDigital Signal Processing (
dc.citation.volumeNumber 1
dc.citation.location Austin, TX
dc.citation.conferenceName IEEE International Conference on Image Processing
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doi 10.1109/ICIP.1994.413277
dc.citation.firstpage 71
dc.citation.lastpage 74
dc.identifier.citation R. G. Baraniuk, "Wavelet Soft-Thresholding of Time-Frequency Representations," vol. 1, 1994.

Files in this item


This item appears in the following Collection(s)

  • ECE Publications [1093]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

Show simple item record