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带时频区间精度小波神经网络的信号仿真研究
引用本文:胡钢,冯向前,陈欣,曹力. 带时频区间精度小波神经网络的信号仿真研究[J]. 山东大学学报(工学版), 2008, 38(1): 96-100
作者姓名:胡钢  冯向前  陈欣  曹力
作者单位:南京航空航天大学经济与管理学院,江苏,南京210016;南京航空航天大学民航与飞行学院,江苏,南京,210016
基金项目:中国民用航空总局科研项目
摘    要:研究了小波神经网络的带时频区间精度集中理论,并应用于信号的仿真.首先利用小波变换和神经网络把信号信息集结为时域区间数与频域区间数形式;再通过预设时域和频域区间数精度,构造s(x)仿射小波框架,保证代价函数的凸性,使其局部极值极小值与全局极小值相一致;然后计算给出带时频精度的理想信号表达式及其算法;最后以具体信号给出基于小波网络框架带时频精度的信号仿真形式.

关 键 词:小波变换  神经网络  仿真
文章编号:1672-3961(2008)01-0096-05
收稿时间:2007-10-30
修稿时间:2007-10-30

A signal simulation method based on a wavelet neural network with an interval-accuracy of time-frequency
HU Gang,FENG Xiang-Qian,CHEN Xin,CAO-Li. A signal simulation method based on a wavelet neural network with an interval-accuracy of time-frequency[J]. Journal of Shandong University of Technology, 2008, 38(1): 96-100
Authors:HU Gang  FENG Xiang-Qian  CHEN Xin  CAO-Li
Affiliation:1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics
Abstract:This paper is about a signal simulation method based on a wavelet neural network with an interval-accuracy of time frequency. With forecast accuracy and the property of local concentration of a time-frequency domain and a related theory of a neural network, an ideal signal function can be translated into  a time-frequency interval number, and then a method was given to calculate the quantity of the neural network unit, and to approximate wave function. Finally a wave function with forward accuracy of time-frequency was applied to simulate a signal by a neural network.
Keywords:wavelet transforms  neural network  signal simulation
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