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

Autoren: 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.

Dokumenttyp: Konferenzbeitrag
Veröffentlichung: Asilomar Hotel and Conference Grounds, USA, 8. November 2015
Konferenz: The Asilomar Conference on Signals, Systems, and Computers
SMVRS.pdf230 KB
Zuletzt aktualisiert am 28.11.2016 von
AIT ieee GOC tzi ith Fachbereich 1
© Arbeitsbereich Nachrichtentechnik - Universität BremenImpressum / Kontakt