DocumentCode
3482123
Title
SVD based noise reduction using rank estimation method
Author
Çek, M. Emre ; Savaci, F.A.
Author_Institution
Izmir Yuksek Teknoloji Enstitusu, Turkey
fYear
2004
fDate
28-30 April 2004
Firstpage
320
Lastpage
323
Abstract
In this paper, an algorithm which performs the singular value decomposition of a noisy matrix has been presented in order to make noise reduction by rank estimation of the noise free data matrix. In this study the rank estimation method is performed by finding ratios of among all consecutive singular values and selecting the maximum of these ratios as the noise threshold.
Keywords
signal denoising; singular value decomposition; SVD; noise free data matrix; noise reduction; noisy matrix; rank estimation method; singular value decomposition; Artificial intelligence; Enterprise resource planning; Erbium; Matrix decomposition; Noise reduction; Postal services; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN
0-7803-8318-4
Type
conf
DOI
10.1109/SIU.2004.1338324
Filename
1338324
Link To Document