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基于能量峰区域时频滤波的信号估计
引用本文:田光明,陈光.基于能量峰区域时频滤波的信号估计[J].信号处理,2004,20(3):263-267.
作者姓名:田光明  陈光
作者单位:1. 子科技大学自动化工程学院,成都,610054;国工程物理研究院结构力学研究所,绵阳,621900
2. 子科技大学自动化工程学院,成都,610054
摘    要:本文提出了一种基于能量峰时频区域滤波的信号估计方法。首先,设计了一种基于能量阈值的时频区域提取方法,识别出信号在时频面上的能量峰,并提取出能量峰所占据的时频区域;利用线性时频滤波器获取信号中的分量,将这些分量的时频分布叠加得到改善的时频分布。仿真结果表明,对于由时频不相交分量组成的信号,本方法可以分离出其中的信号分量,并能得到较优的时频分布。

关 键 词:时频分布  区域提取  时频滤波  信号估计
修稿时间:2003年4月21日

Signal Estimation Based on Time-Frequency Filtering Specified by Time-Frequency Regions Occupied by Clustered Energy
Tian Guangming,Chen Guangju College of Automation Engineering,UESTC.Signal Estimation Based on Time-Frequency Filtering Specified by Time-Frequency Regions Occupied by Clustered Energy[J].Signal Processing,2004,20(3):263-267.
Authors:Tian Guangming  Chen Guangju College of Automation Engineering  UESTC
Affiliation:Tian Guangming,Chen Guangju College of Automation Engineering,UESTC,610054 Institute of Structural Mechanics,CAEP,621900
Abstract:This paper presents a signal estimation method based on time-frequency (TF) filtering specified by TF regions occupied by clustered energy to extract TF disjoint components from it and improve readability of its time-frequency distribution (TFD). Firstly, a TF region extraction method based on energy threshold is designed to identify the clustered energy of the signal and to extract the regions in TF plane occupied by clustered energy; Secondly, linear TF filters are designed to extract the components from the signal, and simply summation of the TFDs of these components is an improvable TFD of the signal. Simulation results indicate that, to the signal consisted of numerous TF disjoint components, our method can extract components from it, and get a better TFD.
Keywords:time-frequency distribution  region extraction  time-frequency filtering  signal estimation  
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