DocumentCode
914620
Title
Image detection through bipolar correlation
Author
Arcese, A. ; Mengert, P.H. ; Trombini, E.W.
Volume
16
Issue
5
fYear
1970
fDate
9/1/1970 12:00:00 AM
Firstpage
534
Lastpage
541
Abstract
The purpose of this paper is to describe the bipolar reference concept. A bipolar reference is simply a reference that can take on a continuous range of both positive and negative numerical values. It will be shown that for map matching via the convolution operation, references that yield maximum signal-to-noise ratios, in general, will be bipolar references. Algorithms for generating bipolar references and digital simulation results are given.
Keywords
Image analysis; Optical correlators; Correlators; Differential equations; Electrons; Filtering; Information theory; Markov processes; Multidimensional systems; Nonlinear filters; Probability distribution; Stochastic processes;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1970.1054531
Filename
1054531
Link To Document