RSCS: Minimum Measurement MMV Deterministic Compressed Sensing based on Reed Solomon Coding

Authors: T. Schnier, C. Bockelmann, A. Dekorsy

Compressed Sensing (CS) is an emerging fiehematics that is used to measure few measuremenrse vectors for lossless reconstruction. In this paper wults from channel coding to create the recovery algorCS for CS in the Multiple Measurement Vector case (Mt can be used with a deterministic measurement matrng error correction schemes. In particular, we show thdified Reed Solomon encoding-decoding structure can bemeasure sparsely representable vector systems down tooretical minimum number of measurements with guaranonstruction, even in the low dimensional case.

Document type: Conference Paper
Publication: Asilomar Hotel and Conference Grounds, USA, 8. November 2015
Conference: The Asilomar Conference on Signals, Systems, and Computers
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