Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4703
Title: Rank kestirim yöntemi kullanarak SVD tabanlı gürültü filtreleme
Other Titles: SVD based noise reduction using rank estimation method
Authors: Çek, Mehmet Emre
Savacı, Ferit Acar
Keywords: Noise abatement
Data matrix
Noisy matrix
Singular vaule decomposition
Algorithms
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Çek, M. E., and Savacı, F. A. (2004). Rank kestirim yöntemi kullanarak SVD tabanlı gürültü filtreleme. Paper presented at the Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference (Kuşadası, Turkey), (pp. 320-323). Piscataway, N.J.: IEEE.
Abstract: In this paper, an algorithm which performs the singular values 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 methodis done by finding ratios of among all consecutive singular values and selecting the maximum of these ratios as the noise threshold.
URI: http://doi.org/10.1109/SIU.2004.1338324
http://hdl.handle.net/11147/4703
ISBN: 780383184
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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