A Robust 1-Bit Compressive Sensing Reconstruction Algorithm

Amin Movahed (UNSW Canberra)

APPLIED SIGNAL PROCESSING SERIES

DATE: 2012-11-29
TIME: 10:00:00 - 11:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
In this presentation, a 1-bit compressive sensing reconstruction algorithm is introduced that is not only robust against bit flips in the binary measurement vector, but also does not require a priori knowledge of the sparsity level of the signal to be reconstructed. It is shown that this new algorithm outperforms state-of-the-art reconstruction algorithms for the 1-bit compressive sensing problem in the presence of random bit flips and when the sparsity level of the signal deviates from its estimated value

BIO:
Amin Movahed received the B.Sc. degree in Electrical Engineering from K.N.T. University of Technology (Tehran, Iran) in 2007 and the M.Sc. degree in Electrical Engineering (Communication Engineering) from Chalmers University of Technology (Gothenburg, Sweden) in 2012. He is currently a PhD student in the School of Engineering and Information Technology, University of New South Wales in Canberra. His main research is about compressive sensing and its applications.