Contextual Hidden Markov Models for Wavelet-domain Signal Processing

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage95en_US
dc.citation.lastpage100en_US
dc.citation.locationPacific Grove, CAen_US
dc.citation.volumeNumber1en_US
dc.contributor.authorCrouse, Matthewen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:40:46Zen_US
dc.date.available2007-10-31T00:40:46Zen_US
dc.date.issued1997-11-01en_US
dc.date.modified2006-06-21en_US
dc.date.note2001-10-10en_US
dc.date.submitted1997-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWavelet-domain hidden Markov models (HMMs) provide a powerful new approach for statistical modeling and processing of wavelet coefficients. In addition to characterizing the statistics of individual wavelet coefficients, HMMs capture some of the key interactions between wavelet coefficients. However, as HMMs model an increasing number of wavelet coefficient interactions, HMM-based signal processing becomes increasingly complicated. In this paper, we propose a new approach to HMMs based on the notion of context. By modeling wavelet coefficient inter-dependencies via contexts, we retain the approximation capabilities of HMMs, yet substantially reduce their complexity. To illustrate the power of this approach, we develop new algorithms for signal estimation and for efficient synthesis of nonGaussian, long-range-dependent network traffic.en_US
dc.identifier.citationM. Crouse and R. G. Baraniuk, "Contextual Hidden Markov Models for Wavelet-domain Signal Processing," vol. 1, 1997.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.1997.680036en_US
dc.identifier.urihttps://hdl.handle.net/1911/19814en_US
dc.language.isoengen_US
dc.subjecthidden markov models (HMM)en_US
dc.subjectwavelet-domainen_US
dc.subjectsignal processingen_US
dc.subject.keywordhidden markov models (HMM)en_US
dc.subject.keywordwavelet-domainen_US
dc.subject.keywordsignal processingen_US
dc.titleContextual Hidden Markov Models for Wavelet-domain Signal Processingen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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