Author Type

Graduate Student

Date of Award

1988

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Sudhakar, Raghavan

Abstract

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.

Extent

247 p.

Comments

College of Engineering and Computer Science|Thesis (M.S.E.)--Florida Atlantic University, 1988.|FAU Electronic Theses and Dissertations Collection|College of Engineering and Computer Science

Identifier

FADT14459

Format

pdf

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