东南大学学报（英文版）2007，Vol.23Issue(1)：22-25,4.
用于通信信号非线性时域滤波的量子随机滤波器
Quantum stochastic filters for nonlinear time-domain filtering of communication signals
摘要
Abstract
Principles and performances of quantum stochastic filters are studied for nonlinear time-domain filtering of communication signals.Filtering is realized by combining neural networks with the nonlinear Schroedinger equation and the time-variant probability density function of signals is estimated by solution of the equation.It is shown that obviously different performances can be achieved by the control of weight coefficients of potential fields.Based on this characteristic,a novel filtering algorithm is proposed,and utilizing this algorithm,the nonlinear waveform distortion of output signals and the denoising capability of the filters can be compromised. This will make the application of quantum stochastic filters be greatly extended,such as in applying the filters to the processing of communication signals.The predominant performance of quantum stochastic filters is shown by simulation results.关键词
通信信号处理/非线性滤波/量子随机滤波器Key words
communication signals processing/nonlinear filtering/quantum stochastic filters分类
信息技术与安全科学引用本文复制引用
朱仁祥,吴乐南..用于通信信号非线性时域滤波的量子随机滤波器[J].东南大学学报（英文版）,2007,23(1):22-25,4.基金项目
The National Natural Science Foundation of China(No.60472054),the High Technology Research Program of Jiangsu Province(No.BG2004035), the Foundation of Excellent Doctoral Dissertation of Southeast University (No.0602). （No.60472054）
