Masters Theses

Abstract

"This thesis investigates the possibility of using the Zadah theory and a machine type computer to design an optimum finite memory nonlinear filter for extraction of Poisson distributed signal pulses from a background of Gaussian noise. Basically the procedure involves the technique of solving simultaneous equations by the computer. We demonstrate that it is possible to find the limitation of the filter of class N₁ in terms of an absolute minimum mean square error. However, due to the capacity of the computer we do not actually determine the absolute minimum. Nevertheless we do show that the mean square error decreases with increasing memory time T"--Abstract, page ii.

Advisor(s)

Betten, J. Robert

Committee Member(s)

Walters, Frank Garnett
Pagano, Sylvester J., 1924-2006
Skitek, G. G. (Gabriel G.)

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri at Rolla

Publication Date

1965

Pagination

vi, 37 pages

Note about bibliography

Includes bibliographical references (pages 56-58).

Rights

© 1965 Ching-Chyoun Yang, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Nonlinear theories
Poisson distribution
Signal processing -- Digital techniques -- Design
Signal processing

Thesis Number

T 1794

Print OCLC #

5969015

Electronic OCLC #

805944051

Share

 
COinS