20 fév 2019 · Keywords—ML Decoding; Noise Guessing; Complexity Analy- sis; Error and Success Exponents I INTRODUCTION Consider a channel with
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
EPFL TH
The stack algorithm and the Fano algorithm are then described in details Next, trellis variants of se- quential decoding, including the recently proposed maximum-
book chapter
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
. F
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
PSLEE
of LP decoding success, based on the notion of a generalized matching Keywords: Error-control coding; channel coding; binary sym- metric channel; factor
LP IT Submitted
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-
Thesis Mohamad Dia
Keywords—ML Decoding; Noise Guessing; Complexity Analy- sis; Error and Success Exponents. I. INTRODUCTION. Consider a channel with inputs Xn
Keywords—ML Decoding; Noise Guessing; Complexity Analy- sis; Error and Success Exponents. I. INTRODUCTION. Consider a channel with inputs Xn
20 feb 2019 Keywords—ML Decoding; Noise Guessing; Complexity Analy- sis; Error and Success Exponents. I. INTRODUCTION. Consider a channel with inputs ...
23 ago 2021 mathematical evaluation of SRGRAND's complexity showing an improvement vis-`a-vis GRAND; error exponents for conditional ML decoding in the ...
mathematical evaluation of SRGRAND's complexity showing an improvement vis-`a-vis GRAND; error exponents for conditional ML decoding in the presence of a
an analysis of learners' needs and the use of “can do” descriptors and communicative tasks on which there is a whole chapter: CEFR 2001 Chapter 7.
25 sept 2007 most polynomially many pseudocodewords above the ML codeword. Keywords: Error-correcting codes; Low-density parity check codes; ...
Deriving Security Test Requirements. Security Tests Integrated in Development and Testing Workflows. Security Test Data Analysis and Reporting.
Keywords: Side-Channel Analysis Information Theory
24 oct 2014 corrupted channel output we consider a simple iterative decoding ... Our circuit tolerates a wide range of input powers with a constant.
Keywords—ML Decoding; Noise Guessing; Complexity Analy- sis; Error and Success Exponents I INTRODUCTION Consider a channel with inputs Xn and outputs
23 fév 2018 · We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in channels with memory The algorithm is based on the principle
25 nov 2022 · The complexity reduction achievable by GRAND exploits the classical guesswork concept where the decoder generates the channel induced error
31 jan 2012 · Keywords: Channel capacity binary asymmetric channel (BAC) error prob- ability finite blocklengths ML optimal codes Z-channel Page 3
31 mar 2023 · Our findings are expected to provide valu- able insights into the design of future PQC algorithms that are resistant to side-channel analysis
1 jui 2018 · A new algorithm for Maximum Likelihood (ML) decoding for channels with memory based on the principle that the receiver rank orders noise
1 An extensive list of attacks using the Information Set Decoding techniques adopted for our codes; 2 An analysis of the cost of a distinguishing attack
25 avr 2022 · In this thesis we will only consider the different intermediate computations of the cryptographic primitive occurring at the output of the
:
Guessing noise not code-words