deposit_your_work

Contraction, Smoothness, and Low-Pass Filtering

Files in this item

Files Size Format View
Kho2004May5Contracti1.PDF 254.4Kb application/pdf Thumbnail

Show simple item record

Item Metadata

dc.contributor.author Khojastepour, Mohammad
Aazhang, Behnaam
Baraniuk, Richard G.
dc.creator Khojastepour, Mohammad
Aazhang, Behnaam
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:49:52Z
dc.date.available 2007-10-31T00:49:52Z
dc.date.issued 2004-05-01
dc.date.submitted 2004-05-01
dc.identifier.uri http://hdl.handle.net/1911/20020
dc.description Conference Paper
dc.description.abstract We introduce a generalized definition for "low-pass" filters that covers time-varying and nonlinear systems under the same umbrella. We show that the qualitative concept of signal smoothing can be made precise through the concept of contractions in probabilistic metric spaces. For illustration, we consider classical linear time-invariant low-pass filters, nonlinear median filters, and time-varying guaranteed maximum delay schedulers employed in communication systems.
dc.language.iso eng
dc.subject.other DSP for Communications
dc.title Contraction, Smoothness, and Low-Pass Filtering
dc.type Conference Paper
dc.date.note 2006-06-06
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-06
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.citation.volumeNumber 2
dc.citation.pageNumber 897-900
dc.citation.location Montreal, Quebec, Canada
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.identifier.citation M. Khojastepour, B. Aazhang and R. G. Baraniuk,"Contraction, Smoothness, and Low-Pass Filtering," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 897-900.

This item appears in the following Collection(s)

  • ECE Publications [1034 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.