Reference : Detection of sparse random signals using compressive measurements
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/5162
Detection of sparse random signals using compressive measurements
English
Shankar, Bhavani mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatterjee, Saikat [Royal Institute of Technology, Sweden]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2012
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
IEEE
3257 - 3260
Yes
International
978-1-4673-0045-2
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
25-30 March 2012
Kyoto
Japan
[en] We consider the problem of detecting a sparse random signal from the compressive measurements without reconstructing the signal. Using a subspace model for the sparse signal where the signal parameters are drawn according to Gaussian law, we obtain the detector based on Neyman-Pearson criterion and analytically determine its operating characteristics when the signal covariance is known. These results are extended to situations where the covariance cannot be estimated. The results can be used to determine the number of measurements needed for a particular detector performance and also illustrate the presence of an optimal support for a given number of measurements.
Others
http://hdl.handle.net/10993/5162
10.1109/ICASSP.2012.6288610

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