Title :
SVD based noise reduction using rank estimation method
Author :
Çek, M. Emre ; Savaci, F.A.
Author_Institution :
Izmir Yuksek Teknoloji Enstitusu, Turkey
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;
Conference_Titel :
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN :
0-7803-8318-4
DOI :
10.1109/SIU.2004.1338324
