%0 Journal Article
%T Adaptive Chirplet Signal Expansion Based on Transcendental Estimation<br>基于先验估计的自适应Chirplet信号展开
%A Shu Chang
%A Song Shu-biao
%A Li Zhong-qun
%A Pei Cheng-ming
%A Tan Shen-gang
%A <br>舒畅
%A 宋叔飚
%A 李中群
%A 裴承鸣
%A 谭申刚
%J 电子与信息学报
%D 2005
%I 
%X In this paper, a new time-frequency representation method, adaptive signal expansion algorithm, is presented. The algorithm is based on that essential character of signal space, initial value estimation and precise resolution are obtained simultaneously. Signal is adaptively expanded to a sum of chirplet elementary functions by using match pursuit algorithm. Then, according to expansion coefficients and elementary function parameters, adaptive time frequency distribution is obtained. Its time frequency congregate, noise-reduction and time frequency resolution are not only better than the general time frequency distribution but also better than adaptive time frequency distribution reported and it is able to characterize the signal's nature exactly. The validity of the algorithm and the performance of adaptive time frequency distribution are tested by numerical simulations.
%K Signal processing
%K Gaussian chirplet
%K Time-frequency distribution
%K Adaptive signal expansion<br>信号处理
%K 高斯线性调频小波
%K 时频分布
%K 自适应信号展开
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=820B2C2081D98DF4&yid=2DD7160C83D0ACED&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=659D3B06EBF534A7&eid=C5154311167311FE&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=9