8 papers · 1 filter
Joint source-channel coding via statistical mechanics: thermal equilibrium between the source and the channel
Neri Merhav
We examine the classical joint source--channel coding problem from the viewpoint of statistical physics and demonstrate that in the random coding regime, the posterior probability…
Error Exponents of Optimum Decoding for the Interference Channel
Raul Etkin, Neri Merhav, Erik Ordentlich
Exponential error bounds for the finite-alphabet interference channel (IFC) with two transmitter-receiver pairs, are investigated under the random coding regime. Our focus is on op…
Asymptotically Optimum Universal One-Bit Watermarking for Gaussian Covertexts and Gaussian Attacks
P. Comesaña, N. Merhav, M. Barni
The problem of optimum watermark embedding and detection was addressed in a recent paper by Merhav and Sabbag, where the optimality criterion was the maximum false-negative error e…
Relations between random coding exponents and the statistical physics of random codes
Neri Merhav
The partition function pertaining to finite--temperature decoding of a (typical) randomly chosen code is known to have three types of behavior, corresponding to three phases in the…
Competitive minimax universal decoding for several ensembles of random codes
Yaniv Akirav, Neri Merhav
Universally achievable error exponents pertaining to certain families of channels (most notably, discrete memoryless channels (DMC's)), and various ensembles of random codes, are s…
Scanning and Sequential Decision Making for Multi-Dimensional Data - Part II: the Noisy Case
Asaf Cohen, Tsachy Weissman, Neri Merhav
We consider the problem of sequential decision making on random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wit…