Parameter estimation of locally stationary wavelet processes

被引：0
|
作者：
Johnson, A [1 ]
Li, CC [1 ]
机构：
[1] Univ Pittsburgh, Dept Elect Engn, Pittsburgh, PA 15260 USA
来源：
WAVELETS: APPLICATIONS IN SIGNAL AND IMAGE PROCESSING X, PTS 1 AND 2 | 2003年 / 5207卷
关键词：
nonstationary process; locally stationary wavelet process; average representation entropy;
D O I：
10.1117/12.505549
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper considers the extraction of information from a locally stationary process modelled by wavelet packets. A method is presented to select subprocesses that characterize the key aspects of the nonstationary process for pattern analysis. The estimated parameters of the selected subprocesses are used to infer the process' time varying behavior. The estimated parameters can be used as features in the attempt to distinguish changing states within a process or differentiate two different locally stationary processes.
引用
收藏
页码：858 / 867
页数：10
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