A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm
Paper in proceeding, 2012

n this paper, we introduce a 1-bit compressive sensing reconstruction algorithm 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. Through numerical experiments, we show that our 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.

Author

A. Movahed

Chalmers, Signals and Systems

Ashkan Panahi

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Giuseppe Durisi

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

IEEE Information Theory Workshop (ITW), Lausanne, 3-7 September 2012

567-571 6404739
978-146730223-4 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

DOI

10.1109/ITW.2012.6404739

ISBN

978-146730223-4

More information

Latest update

4/18/2019