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Stability Analysis of the Turbo Decoding Algorithm Using Keywords: Information, Surprise, Relevance, Bayesian Probabilities, general theory, we consider only the case of conjugate priors, where the the most surprising region of the input space Z-channel and systematic asymmetric error detection (AED) codes



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[PDF] Guessing noise, not code-words - CORE

20 fév 2019 · Keywords—ML Decoding; Noise Guessing; Complexity Analy- sis; Error and Success Exponents I INTRODUCTION Consider a channel with 



[PDF] Polar Codes for Channel and Source Coding - Infoscience - EPFL

The original polar codes of Arıkan achieve a block error probability decay- Keywords : Polar codes, low-complexity schemes, channel coding, source 1 Introduction 1 eralizes the analysis of the BEC [29] to any symmetric channel and a class inputs before transmission and a successive cancellation decoder at the 



[PDF] Sequential Decoding of Convolutional Codes

The stack algorithm and the Fano algorithm are then described in details Next, trellis variants of se- quential decoding, including the recently proposed maximum- 



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Stability Analysis of the Turbo Decoding Algorithm Using Keywords: Information, Surprise, Relevance, Bayesian Probabilities, general theory, we consider only the case of conjugate priors, where the the most surprising region of the input space Z-channel and systematic asymmetric error detection (AED) codes



[PDF] Countermeasures to side-channel attacks and secure multi-party

2 1 Introduction 4 8 2 Information Set Decoding and Error Probability the apparition of side-channel analysis in the 90's [Koc96] showed that considered according to their complexity classes, for example logarithmic, linear, the combined leakage with respect to some input x and some guess k on the target secret



[PDF] Probabilistic Analysis of Linear Programming Decoding

of LP decoding success, based on the notion of a generalized matching Keywords: Error-control coding; channel coding; binary sym- metric channel; factor 



[PDF] High-Dimensional Inference on Dense Graphs with - Mohamad Dia

ranging from community detection to sparse principal component analysis We provide an Keywords: Bayesian inference, channel coding, sparse superposition codes, complexity decoding over a large class of channels, namely the binary-input In general, consider a probability distribution function that takes the fol-

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