Please use this identifier to cite or link to this item:
Title: Analysis of required measurement number in compressive sensing
Other Titles: Sikiştirilmiş algilamada gerekli ölçüm sayisinin analizi
Authors: Ayaş, Lokman
Gürbüz A. C.
Issue Date: 2010
Source: 18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, 22 April 2010 through 24 April 2010, Diyarbakir, 83388
Abstract: Compressive sensing is a new signal processing method which shows that a sparse signal can be constructed using fewer measurements than normal reconstruction methods. Rather taking all Nyquist samples of a sparse signal in any base the signal can be reconstructed correctly by taking small number of linear projections. In compressive sensing an important relation between measurement number and signal length and sparsity level is used as M=K(logN). This relation is examined separately in noiseless and noisy data. It is determined by simulations that this relation is valid for sparse enough signals and a new relation has been developed for more general cases. ©2010 IEEE.
ISBN: 9781424496716
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.