Noise reduction in nonlinear time series using a library of wavelet bases

被引：0

作者：

Yen, K ^{[1
]}

Naqui, A ^{[1
]}

Andrian, J ^{[1
]}

机构：

[1] Florida Int Univ, Dept Elect & Comp Engn, Miami, FL 33174 USA

来源：

COMPUTERS AND THEIR APPLICATIONS | 2001年

关键词：

noise reduction; nonlinear; modified Saito; multi-levels algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Noise reduction is important in time series analysis and has received considerable attention in the past. This paper presents a noise reduction algorithm which extends the Saito's algorithm to multiple levels for non-linear time series.

引用

页码：413 / 416

页数：4