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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151322
Doc. No : ET23114
Main Entry : Rebecca M. Willett
Title Proper : Multiscale Analysis for Intensity and Density Estimation
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The nonparametric multiscale polynomial and platelet algorithms presented in this thesis arepowerful new tools for signal and image denoising and reconstmction. Unlike traditional wavelet-based multiscale methods, these algorithms are both well suited to processing Poisson and multino-mial data and capable of preserving image edges. At the heart of these new algorithms lie multiscalesignal decompositions based on polynomials in one dimension and multiscale image decomposi-tions based on platelets in two dimensions. This thesis introduces platelets, localized atoms atvarious locations, scales and orientations that can produce highly accurate, piecewise linear ap-proximations to images consisting of smooth regions separated by smooth boundaries. Polynomial-and platelet-based maximum penalized likelihood methods for signal and image analysis are bothtractable and cornputationally efficient. Simulations establish the practical effectiveness of thesealgorithms in applications such as medical and astronomical, density estimation, and networking;statistical risk bounds establish the theoretical near-optimality of these algorithms..-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46348.pdf
Title and statement of responsibility and : Multiscale Analysis for Intensity and Density Estimation [Thesis]
 
 
 
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