Masters Theses

Abstract

"This thesis deals with the detection of two-dimensional signals in the presence of noise, including signal dependent noise. The object to be detected and the background are assumed known a priori. A decision rule based on a likelihood ratio test is obtained and the associated probabilities of detection and false alarm are evaluated. This is done first in general terms, where neither the form of sampling nor the model used for noise is specified. Then results are obtained for three examples: Poisson noise, signal dependent Gaussian noise, and binomial noise. Finally, the degradation resulting from a point spread function is considered and a quantitative example presented. It is concluded that the added a priori knowledge required for statistical detection improves performance beyond what is possible by visual detection"-- Abstract, p. ii

Advisor(s)

Cunningham, David R.

Committee Member(s)

Illegible Signature
Flanigan, V. J.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

1975

Pagination

v, 53 pages

Note about bibliography

Includes bibliographical references (pages 51-52)

Rights

© 1975 Robert D. Laramore, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 4021

Print OCLC #

5982021

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