A Novel Algorithm of the Wavelet Packets Transform and its Application to DE-Noising of Analytical Signals
作者:
Xueguang Shao,
Wensheng Cai,
期刊:
Analytical Letters
(Taylor Available online 1999)
卷期:
Volume 32,
issue 4
页码: 743-760
ISSN:0003-2719
年代: 1999
DOI:10.1080/00032719908542853
出版商: Taylor & Francis Group
关键词: Wavelet packets transform;Algorithm;Smoothing and De-noising
数据来源: Taylor
摘要:
A novel algorithm of the wavelet packets transform, which is more suitable than the multiresolution signal decomposition (MRSD) algorithm to process the practical signals in analytical instrumental analysis, was proposed. There is no limitation of data length for the algorithm like the MRSD algorithm and, sometimes, no need to perform the inverse transform in practical uses by the algorithm. Two methods for de-noising were proposed based on the algorithm, and application of the methods to de-noising of noisy chromatograms was investigated. The results showed that the efficiency of the proposed methods is higher than that of the conventional thresholding methods.
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