Title :
Image detection through bipolar correlation
Author :
Arcese, A. ; Mengert, P.H. ; Trombini, E.W.
fDate :
9/1/1970 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1970.1054531
