The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 09, 1998
Filed:
Sep. 14, 1995
Bing J Sheu, Los Angeles, CA (US);
Sa H Bang, Santa Clara, CA (US);
Theodore W Berger, Rancho Palos Verdes, CA (US);
University of Southern California, Los Angeles, CA (US);
Abstract
An architecture and design of compact neural networks is presented for the maximum-likelihood sequence estimation (MLSE) of one-dimensional signals, such as sound, in digital communications. Optimization of a concave Lyapunov function associated with a compact neural network performs a combinatorial minimization of the detection cost, and truly paralleled operations in the analog domain are achievable via the collective computational behaviors. In addition, the MLSE performance can be improved by paralleled hardware annealing, a technique for obtaining optimal or near-optimal solutions in high-speed, real-time applications. For a sequence of length n, the network of complexity and throughput rate are O(L) and n/T.sub.c, respectively, where L is the number of symbols the inference spans and T.sub.c is the convergence time. The hardware architecture as well as network models, neuron models, and methods of feeding the input to the network are addressed in terms of the probability of error.