Title
A New Kind of Matched Filter
Abstract
In this article, an attempt is made to bring together the method of frequency filters, designed to separate signals whose spectra are nonoverlapping without regard to the statistical properties of the signals being separated, and the method of "optimum filters" (Wiener, Zadeh-Ragazzini) where the desired signal and the interference are specified by their power spectral densities or their autocorrelation functions. Thus a class of new filters is defined; their fundamental properties are studied and a number of examples are furnished. Finally, a comparison is made, referring to a particular case, with the method of Zadeh and Ragazzini.
Year
DOI
Venue
1959
10.1109/TCT.1959.1086606
IRE Transactions on Information Theory
Keywords
Field
DocType
filtering,integral equations,matched filters,random processes,wiener filter,band pass filters,autocorrelation,frequency,tellurium,matched filter,signal processing,autocorrelation function,noise reduction
Wiener filter,Control theory,Prototype filter,Network synthesis filters,Filter (signal processing),Filtering problem,Electronic engineering,Adaptive filter,Matched filter,Nonlinear filter,Mathematics
Journal
Volume
Issue
ISSN
6
5
0096-2007
Citations 
PageRank 
References 
1
1.52
0
Authors
1
Name
Order
Citations
PageRank
H. Debart111.52