Description 
1 online resource (xiv, 227 pages) : 126 illustrations 
Series 
Signal Processing and Digital Filtering, 14317893 

Signal processing and digital filtering.

Contents 
Introduction  Convolutional model  Likelihood  Maximizing likelihood  Properties and performance  Examples  Mathematical details for Chapter 4  Mathematical details for Chapter 5  Computational considerations 
Summary 
"Convolution is the most important operation that describes the behavior of a linear timeinvariant dynamical system. Deconvolution is the unraveling of convolution. It is the inverse problem of generating the system's input from knowledge about the system's output and dynamics. Deconvolution requires a careful balancing of bandwidth and signaltonoise ratio effects. Maximumlikelihood deconvolution (MLD) is a design procedure that handles both effects. It draws upon ideas from Maximum Likelihood, when unknown parameters are random. It leads to linear and nonlinear signal processors that provide highresolution estimates of a system's input. All aspects of MLD are described, from first principles in this book. The purpose of this volume is to explain MLD as simply as possible. To do this, the entire theory of MLD is presented in terms of a convolutional signal generating model and some relatively simple ideas from optimization theory. Earlier approaches to MLD, which are couched in the language of statevariable models and estimation theory, are unnecessary to understand the essence of MLD. MLD is a modelbased signal processing procedure, because it is based on a signal model, namely the convolutional model. The book focuses on three aspects of MLD: (1) specification of a probability model for the system's measured output; (2) determination of an appropriate likelihood function; and (3) maximization of that likelihood function. Many practical algorithms are obtained. Computational aspects of MLD are described in great detail. Extensive simulations are provided, including real data applications."Publisher's description 
Bibliography 
Includes bibliographical references (pages 209223) and index 
Subject 
Engineering.


Telecommunication.


Engineering.


Telecommunication.

Form 
Electronic book

ISBN 
0387972080 

1461233704 

9780387972084 

9781461233701 
