%0 Journal Article
%T Combining Adaptive Diffusion with Difference for Detecting Nonstationary Signals<br>自适应扩散算法与差分法结合用于检测非平稳信号
%A TAN Xiao-Gang
%A LI Li-Ping
%A WEI Ping
%A <br>谭小刚
%A 李立萍
%A 魏平
%J 自动化学报
%D 2007
%I 
%X Time-frequency analysis aims to construct a density function of time and frequency to reveal the frequency components in signals to be analyzed and the evolution of the frequency of signals with time.The Wigner distribution(WD)is one of the most fundamental and widely used methods for analyzing nonstationary signals in the fields of radar,communication,etc.However,the application of the WD is greatly limited by the existence of interference terms.The adaptive diffusion method proposed to remove the interference terms of the WD by Julien Gosme,et al.is to be invalid in the presence of interference terms generated by signals,whose distributions are interwoven together in the time-frequency plane of the WD.We combine the diffusion technique with difference method for removing these interference terms to improve the resolution and readability of the time-frequency representation of the Cohen class for detecting nonstationary signals.
%K Adaptive diffusion
%K interference terms
%K signal-dependent kernel function
%K nonstationary signal<br>适应性扩散
%K 不稳定信号
%K 探测
%K 干涉项
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=30EEF0AC2336D89F&yid=A732AF04DDA03BB3&vid=27746BCEEE58E9DC&iid=9CF7A0430CBB2DFD&sid=90EAFEE49150CFCD&eid=073C3CF5F13F64FE&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=19