"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.
Betten, J. Robert
Harden, Richard C.
Bain, Lee J., 1939-
Pagano, Sylvester J., 1924-2006
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri at Rolla
v, 34 pages
© 1966 Ming-Chwan Chow, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Signal detection -- Mathematical models
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Chow, Ming-Chwan, "Analysis of time-varying linear multipole filters with sampled nonstationary random inputs" (1966). Masters Theses. 5748.