%0 Journal Article
%T Time Series Similarity Based on Discrete Cosine Transform<br>基于离散余弦变换的时间序列相似性检索
%A LIU Duan-Yang
%A ZHANG Rui-Qiang
%A <br>刘端阳
%A 张瑞强
%J 计算机系统应用
%D 2012
%I 
%X In the research domain of time series similarity, there have been many approach that are developed to represent time series in the order of reducing the dimensionality. As one of the classic time domain-frequency domain transformation method, the discrete cosine transform has been widely used in the field of graphics and image processing. In this paper, we used this method to represent time series, and implenmet querying operation etc. on ttie transformed data. Our experiments indicate that this method obviously improve the performance compared with previous method..
%K time series
%K distance measure
%K similarity
%K dimension reduction
%K discrete cosine transform<br>时间序列
%K 距离度量
%K 相似性
%K 维度约简
%K 离散余弦变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA0537F764A968BDB7D5D5&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=9CF7A0430CBB2DFD&sid=64963996248CBF47&eid=D296E54CF52CFD73&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7