首页>
外国专利>
One-dimensional signal processor with optimized solution capability
One-dimensional signal processor with optimized solution capability
展开▼
机译：具有优化解决方案功能的一维信号处理器
展开▼
页面导航
摘要
著录项
相似文献
摘要
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.
展开▼
