Masters Theses
Abstract
"In this thesis an analytical method is developed to determine an optimum time-varying linear filter in order to satisfy the following specifications. The filters are of sampled data multipole form with n inputs and m outputs. The signal of each input is a member of a nonstationary random process, and the signal is corrupted by stationary noise.
The statistical optimization theory developed by Wiener is extended to a linear time- varying filter with nonstationary input. Correlation functions are defined for nonstationary ensembles. The mean- square error is calculated in terms of these correlation functions. By minimization of the mean-square error, the integral equations defining the optimum filters are determined"--Abstract, page ii.
Advisor(s)
Betten, J. Robert
Committee Member(s)
Harden, Richard C.
Bain, Lee J., 1939-
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
1966
Pagination
v, 34 pages
Note about bibliography
Includes bibliographical references (page 33).
Rights
© 1966 Ming-Chwan Chow, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Signal detection -- Mathematical models
Signal processing
Time-series analysis
Thesis Number
T 1875
Print OCLC #
5973618
Electronic OCLC #
896879202
Link to Catalog Record
Recommended Citation
Chow, Ming-Chwan, "Analysis of time-varying linear multipole filters with sampled nonstationary random inputs" (1966). Masters Theses. 5748.
https://scholarsmine.mst.edu/masters_theses/5748
