发明授权
- 专利标题： Maximum entropy deconvolver circuit based on neural net principles
- 专利标题（中）： 基于神经网络原理的最大熵解卷积电路
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申请号： US144141申请日： 1988-01-15
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公开(公告)号： US4849925A公开(公告)日： 1989-07-18
- 发明人: Martin C. Peckerar , Christie R. K. Marrian
- 申请人： Martin C. Peckerar , Christie R. K. Marrian
- 申请人地址： DC Washington
- 专利权人： The United States of America as represented by the Secretary of the Navy
- 当前专利权人： The United States of America as represented by the Secretary of the Navy
- 当前专利权人地址： DC Washington
- 主分类号： G06G7/19
- IPC分类号： G06G7/19 ; G06N3/063
摘要：
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.
公开/授权文献
- US06052958A Wall panel system 公开/授权日：2000-04-25
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