不确定原则和神经元网络用于信号恢复

Application of Uncertainty Principle and Neural Network in Signal Recovery

本文简要论述了不确定原则及其推广形式,着重讨论了它在信号恢复中的应用,给出了可实现POCS算法的神经元网络和权系数矩阵的学习方法,最后给出了模拟试验结果.

Uncertainty Principle and its generalized version was presented briefly. Its application in signal recovey was discussed indepth. Neural Network which can implement POCS methad and learning algorithm of its weights matrix was als given. Some Simulation results are discussed.