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Homomorphic estimation and detection of convolved signals

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Date Issued:
1988
Summary:
A new approach to estimating convolved signals, refered to as homomorphic estimation, is presented. This method is the fusion of two well-developed signal processing techniques. The first is the class of homomorphic systems which are characterized by a generalized principle of superposition and allow any linear filter method to be applied when signals are non-additively combined. The second well-known technique is the Wiener estimation filter which has the ability to estimate a desired signal in the presence of additive noise. The theory and realization of the homomorphic system for convolution based on the Fourier transform is developed. Homomorphic estimation system performance is analyzed using digital computer simulation. Homomorphic detection is also presented and is shown to be a useful and easily implemented method.
Title: Homomorphic estimation and detection of convolved signals.
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Name(s): Cox, Steven William.
Florida Atlantic University, Degree grantor
Sudhakar, Raghavan, Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1988
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 247 p.
Language(s): English
Summary: A new approach to estimating convolved signals, refered to as homomorphic estimation, is presented. This method is the fusion of two well-developed signal processing techniques. The first is the class of homomorphic systems which are characterized by a generalized principle of superposition and allow any linear filter method to be applied when signals are non-additively combined. The second well-known technique is the Wiener estimation filter which has the ability to estimate a desired signal in the presence of additive noise. The theory and realization of the homomorphic system for convolution based on the Fourier transform is developed. Homomorphic estimation system performance is analyzed using digital computer simulation. Homomorphic detection is also presented and is shown to be a useful and easily implemented method.
Identifier: 14459 (digitool), FADT14459 (IID), fau:11258 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.E.)--Florida Atlantic University, 1988.
Subject(s): Signal detection
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/14459
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.