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dc.contributor.authorWillett, Rebecca
dc.creatorWillett, Rebecca 2007-10-31T01:09:45Z 2007-10-31T01:09:45Z 2001-04-20 2002-04-30
dc.description Elec 599 Project Report
dc.description.abstract Given observations of a one-dimensional piecewise linear, length-M Poisson intensity function, our goal is to estimate both the partition points and the parameters of each segment. In order to determine where the breaks lie, we develop a maximum penalized likelihood estimator based on information-theoretic complexity penalization. We construct a probabilistic model of the observations within a multiscale framework, and use this framework to devise a computationally efficient optimization algorithm, based on a tree-pruning approach, to compute the MPLE.
dc.language.iso eng
dc.subject.otherWavelet based Signal/Image Processing
Multiscale Methods
dc.title Multiresolution Intensity Estimation of Piecewise Linear Poisson Processes
dc.type Report
dc.citation.bibtexName misc
dc.citation.journalTitle None 2002-04-30
dc.contributor.orgDigital Signal Processing (
dc.type.dcmi Text
dc.identifier.citation R. Willett, "Multiresolution Intensity Estimation of Piecewise Linear Poisson Processes," None, 2001.

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  • ECE Publications [1074]
    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.

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