Masters Theses

Abstract

"The problem of resolving two signals F1(t) and F2(t) in white Gaussian noise n(t) is treated here as a problem in statistical decision theory. We assume a situation in which one of two similar signals is present and an observer is asked to make a decision concerning which of the signals is present with a tolerable probability of error. The observer is allowed to use the best system which he can design for this particular purpose. Of course, this observation will be disturbed by noise and therefore, the observer is led to ambiguous selections. It is apparent that the optimum instrument for this purpose will thus depend on the characteristics of the signals as well as on the statistical properties of the noise"-- Introduction, p.1

Advisor(s)

Betten, J. Robert

Committee Member(s)

Harden, Richard C.
Antle, Charles E.
Pagano, Sylvester J., 1924-2006

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri at Rolla

Publication Date

1964

Pagination

iv, 49 pages

Note about bibliography

Includes bibliographical references page 48

Rights

© 1964 Peter Cheng-Fang Wang, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 1564

Print OCLC #

5955385

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