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Segmented compressive sensing

Abolghasemi, V, Sanei, Saeid, Ferdowsi, S, Ghaderi, F and Belcher, A (2009) Segmented compressive sensing In: SSP '09, 2009-08-31 - 2009-09-03, Cardiff, UK.

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This paper presents an alternative way of random sampling of signals/images in the framework of compressed sensing. In spite of usual random samplers which take p measurements from the input signal, the proposed method uses M different samplers each taking pi'(i = 1, 2, 3 ... M) samples. Therefore, the overall number of samples will be q = M pmacr'. Using this method a variable sampling criterion based on the content of the segments is achievable. Following this idea, the calculated measurement (or sensing) matrix is also more incoherent in columns comparing to other conventional methods which is a desired feature. Our experiments show that the reconstructed signal using this method has a better SNR and is more robust compared to the systems using one sampler.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Abolghasemi, V
Ferdowsi, S
Ghaderi, F
Belcher, A
Date : 2009
DOI : 10.1109/SSP.2009.5278498
Contributors :
Additional Information : © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 14 Jan 2013 10:59
Last Modified : 16 Jan 2019 16:41

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