Paper
8 June 2012 On linear block codes and deterministic compressive sampling
Nicholas Tsagkarakis, Dimitris A. Pados
Author Affiliations +
Abstract
We suggest and explore a parallelism between linear block code parity check matrices and binary zero/one measurement matrices for compressed sensing. The resulting family of deterministic compressive samplers renders itself to the development of eective and ecient recovery algorithms for sparse signals that are not ℓ1-based. Experimental results that we include herein demonstrate the utility of the presented developments.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicholas Tsagkarakis and Dimitris A. Pados "On linear block codes and deterministic compressive sampling", Proc. SPIE 8365, Compressive Sensing, 836506 (8 June 2012); https://doi.org/10.1117/12.920180
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KEYWORDS
Matrices

Reconstruction algorithms

Compressed sensing

Algorithm development

Binary data

Electroluminescent displays

Radon

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