Wavelet Soft-Thresholding of Time-Frequency Representations

Files in this item

Files Size Format View
Bar1994Nov5WaveletSof.PDF 376.5Kb application/pdf Thumbnail

Show simple item record

Item Metadata Baraniuk, Richard G.
dc.creator Baraniuk, 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.other DSP 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 Digital Signal Processing (
dc.citation.volumeNumber 1
dc.citation.pageNumber 71-74
dc.citation.location Austin, TX
dc.citation.conferenceName IEEE International Conference on Image Processing
dc.type.dcmi Text
dc.identifier.citation R. G. Baraniuk, "Wavelet Soft-Thresholding of Time-Frequency Representations," vol. 1, pp. 71-74, 1994.

This item appears in the following Collection(s)

  • ECE Publications [1053 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.