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Homomorphic estimation and detection of convolved signals
- 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 |
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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. |
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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. |