Noise Reduction using Wavelet Transform and Singular Vector Decomposition

被引：30

作者：

Patil, Rajesh ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Bombay, Maharashtra, India

来源：

ELEVENTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2015/INDIA ELEVENTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2015/NDIA ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2015 | 2015年 / 54卷

关键词：

Wavelet Transform (WT); Fourier Transform (FT); Noise reduction; Singular Vector Decomposition (SVD);

D O I：

10.1016/j.procs.2015.06.099

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Signals do not exist without noise. It must be removed from the data for further data analysis. The search for efficient noise reduction methods is still going on. Wavelet Transform (WT) is a powerful tool for removal of noise from various signals. Combining WT with other noise reducing techniques may result in further reduction of noise. Similar to WT, Singular Vector Decomposition (SVD) is also an effective noise reduction tool. In this experiment, wavelet transform is used along with Singular Vector Decomposition (SVD) for noise reduction. The results of noise reduction using Wavelet transform and combination of SVD withWT are compared. Error between coefficients of WT of original signal and coefficients of noise added signal SVD along with WT is found to be less as compare to WT operated alone on noisy signal.

引用

页码：849 / 853

页数：5