📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation

First Author: Gretsistas A

Attributed to: Machine Listening using Sparse Representations funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-642-15995-4_57

Publication URI: http://dx.doi.org/10.1007/978-3-642-15995-4_57

Type: Book Chapter

Book Title: Latent Variable Analysis and Signal Separation (2010)

Page Reference: 458-465

ISBN: 978-3-642-15994-7