%0 Journal Article
%T CHOOSING OPTIMAL ORTHOGONAL WAVELETS FOR SIGNAL APPROXIMATION<br>用于信号逼近的最佳正交子波选择方法
%A Fan Zhong
%A Tian Lisheng
%A <br>范中
%A 田立生
%J 电子与信息学报
%D 1995
%I 
%X The discrete wavelet transform decomposes a discrete time signal into an approximation sequence and a detail sequence at each level of resolution. Compactly supported orthonormal wavelets correspond to perfect reconstruction (PR) quadrature mirror filter (QMF) banks. This paper deals with the problem of choosing orthogonal wavelet (scaling) filters for best signal approximation at some scales. By using a kind of parametrization method, the constrained optimization can be converted into an unconstrained one. Some simulations are shown here.
%K Wavelets
%K QMF
%K Optimal approximation<br>子波
%K 正交镜象滤波器
%K 最佳逼近
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=F1F6812890BC60748F214599E1079DAB&yid=BBCD5003575B2B5F&vid=BCA2697F357F2001&iid=94C357A881DFC066&sid=78BF76CF5B7CB0F2&eid=366B1248A15658C5&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9