Accession Number : ADD014222

Title :   Maximum Entropy Deconvolver Circuit Based on Neural Net Principles.

Descriptive Note : Patent, Filed 15 Jan 88 patented 18 Jul 89,

Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s) : Peckerar, Martin C ; Marrian, Christie R

Report Date : 18 Jul 1989

Pagination or Media Count : 8

Abstract : Disclosed are two modifications of the Tank-Hopfield circuit, each of which enables the deconvolution of a signal in the presence of noise. In each embodiment, the Tank-Hopfield circuit is modified so that the equation for total circuit energy reduces to one term representing convolution and another information theoretic (or Shannon) entropy. Thus, in finding its global minimum energy state, each modified circuit inherently identifies an optimal estimate of a deconvoluted input signal without noise. Patents. (RRH)

Descriptors :   *CIRCUITS, *ENERGY, *ENTROPY, *NERVOUS SYSTEM, *NETS, *PATENTS, EQUATIONS, ESTIMATES, MODIFICATION, OPTIMIZATION

Subject Categories : Bionics
      Cybernetics
      Electrical and Electronic Equipment
      Thermodynamics

Distribution Statement : APPROVED FOR PUBLIC RELEASE