A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation

A Gretsistas; MD Plumbley

doi:10.1007/978-3-642-15995-4_57

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A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation

Conference presentation

Peer reviewed

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation

A Gretsistas and MD Plumbley

LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, Vol.6365, pp.458-465

9th International Conference on Latent Variable Analysis and Signal Separation (St Malo, FRANCE, 27/09/2010 - 30/09/2010)

01/01/2010

DOI: https://doi.org/10.1007/978-3-642-15995-4_57

Abstract

Science & Technology

Technology

Computer Science

Theory & Methods

Computer Science

Array signal processing

direction of arrival estimation

sparse representations

compressed sensing

joint sparsity

AVERAGE-CASE ANALYSIS

RECOVERY

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Title: A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation
Creators: A Gretsistas
MD Plumbley
Contributors: V Vigneron
V Zarzoso
E Moreau
R Gribonval
E Vincent
SPRINGER-VERLAG BERLIN (Publisher)
Publication Details: LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, Vol.6365, pp.458-465
Conference: 9th International Conference on Latent Variable Analysis and Signal Separation (St Malo, FRANCE, 27/09/2010 - 30/09/2010)
Date published: 01/01/2010
Date submitted: 17/05/2017
Identifiers: 99515490702346
Academic Unit: University of Surrey
Resource Type: Conference presentation

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation

Abstract

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