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4 papers · 1 filter
Approximate Message Passing with Restricted Boltzmann Machine Priors
Eric W. Tramel, Angélique Drémeau, Florent Krzakala
Approximate Message Passing (AMP) has been shown to be an excellent statistical approach to signal inference and compressed sensing problem. The AMP framework provides modularity i…
Relaxed Recovery Conditions for OMP/OLS by Exploiting both Coherence and Decay
Cédric Herzet, Angélique Drémeau, Charles Soussen
We propose extended coherence-based conditions for exact sparse support recovery using orthogonal matching pursuit (OMP) and orthogonal least squares (OLS). Unlike standard uniform…
Methods for the Reconstruction of Parallel Turbo Codes
Mathieu Cluzeau, Matthieu Finiasz, Jean-Pierre Tillich
We present two new algorithms for the reconstruction of turbo codes from a noisy intercepted bitstream. With these algorithms, we were able to reconstruct various turbo codes with…
Design of Rate-Compatible Serially Concatenated Convolutional Codes
Alexandre Graell i Amat, Fredrik Brannstrom, Lars K. Rasmussen
Recently a powerful class of rate-compatible serially concatenated convolutional codes (SCCCs) have been proposed based on minimizing analytical upper bounds on the error probabili…