Contraction, Smoothness, and Low-Pass Filtering

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.citation.firstpage897en_US
dc.citation.lastpage900en_US
dc.citation.locationMontreal, Quebec, Canadaen_US
dc.citation.volumeNumber2en_US
dc.contributor.authorKhojastepour, Mohammaden_US
dc.contributor.authorAazhang, Behnaamen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:49:52Zen_US
dc.date.available2007-10-31T00:49:52Zen_US
dc.date.issued2004-05-01en_US
dc.date.modified2006-06-06en_US
dc.date.note2006-06-06en_US
dc.date.submitted2004-05-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe 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.en_US
dc.identifier.citationM. Khojastepour, B. Aazhang and R. G. Baraniuk, "Contraction, Smoothness, and Low-Pass Filtering," vol. 2, 2004.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.2004.1326403en_US
dc.identifier.urihttps://hdl.handle.net/1911/20020en_US
dc.language.isoengen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleContraction, Smoothness, and Low-Pass Filteringen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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