Detection of time-varying support via rank evolution approach for effective joint sparse recovery

Lavrenko A, Romer F, Del Galdo G, Thoma R, Arikan O (2015)

Publication Type: Conference contribution

Publication year: 2015

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1716-1720

Conference Proceedings Title: 2015 23rd European Signal Processing Conference, EUSIPCO 2015

Event location: Nice, FRA

ISBN: 9780992862633

DOI: 10.1109/EUSIPCO.2015.7362677

Abstract

Efficient recovery of sparse signals from few linear projections is a primary goal in a number of applications, most notably in a recently-emerged area of compressed sensing. The multiple measurement vector (MMV) joint sparse recovery is an extension of the single vector sparse recovery problem to the case when a set of consequent measurements share the same support. In this contribution we consider a modification of the MMV problem where the signal support can change from one block of data to another and the moment of change is not known in advance. We propose an approach for the support change detection based on the sequential rank estimation of a windowed block of the measurement data. We show that under certain conditions it allows for an unambiguous determination of the moment of change, provided that the consequent data vectors are incoherent to each other.

Involved external institutions

Technische Universität Ilmenau DE Germany (DE) Bilkent University / Bilkent Üniversitesi TR Turkey (TR)

How to cite

APA:

Lavrenko, A., Romer, F., Del Galdo, G., Thoma, R., & Arikan, O. (2015). Detection of time-varying support via rank evolution approach for effective joint sparse recovery. In 2015 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 1716-1720). Nice, FRA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lavrenko, A., et al. "Detection of time-varying support via rank evolution approach for effective joint sparse recovery." Proceedings of the 23rd European Signal Processing Conference, EUSIPCO 2015, Nice, FRA Institute of Electrical and Electronics Engineers Inc., 2015. 1716-1720.

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