Belief propagation for nonlinear block codes

2011 ◽  
Author(s):  
E. R. Ackermann ◽  
T. L. Grobler ◽  
A. J. van Zyl ◽  
J. C. Olivier
Keyword(s):  
Belief Propagation ◽  
Block Codes

Iterative reliability-based decoding of linear block codes with adaptive belief propagation

2005 ◽  
Vol 9 (12) ◽  
pp. 1067-1069 ◽  
Author(s):  
A. Kothiyal ◽  
O.Y. Takeshita ◽  
Wenyi Jin ◽  
M. Fossorier
Keyword(s):  
Belief Propagation ◽  
Block Codes ◽  
Linear Block Codes ◽  
Linear Block

scholarly journals A Simple Scheme for Belief Propagation Decoding of BCH and RS Codes in Multimedia Transmissions

2008 ◽  
Vol 2008 ◽  
pp. 1-12 ◽  
Author(s):  
Marco Baldi ◽  
Franco Chiaraluce
Keyword(s):  
Belief Propagation ◽  
Ldpc Codes ◽  
Block Codes ◽  
Soft Decision ◽  
Linear Block Codes ◽  
Rs Codes ◽  
Nonbinary Codes ◽  
Soft Decision Decoding ◽  
Multimedia Transmissions ◽  
A New Technique

Classic linear block codes, like Bose-Chaudhuri-Hocquenghem (BCH) and Reed-Solomon (RS) codes, are widely used in multimedia transmissions, but their soft-decision decoding still represents an open issue. Among the several approaches proposed for this purpose, an important role is played by the iterative belief propagation principle, whose application to low-density parity-check (LDPC) codes permits to approach the channel capacity. In this paper, we elaborate a new technique for decoding classic binary and nonbinary codes through the belief propagation algorithm. We focus on RS codes included in the recent CDMA2000 standard, and compare the proposed technique with the adaptive belief propagation approach, that is able to ensure very good performance but with higher complexity. Moreover, we consider the case of long BCH codes included in the DVB-S2 standard, for which we show that the usage of “pure” LDPC codes would provide better performance.

Multiple-Bases Belief-Propagation for Decoding of Short Block Codes

2007 ◽  
Author(s):  
Thorsten Hehn ◽  
Johannes B. Huber ◽  
Stefan Laendner ◽  
Olgica Milenkovic
Keyword(s):  
Belief Propagation ◽  
Block Codes

scholarly journals Blind Neural Belief Propagation Decoder for Linear Block Codes

2021 ◽  
Author(s):  
Guillaume Larue ◽  
Louis-Adrien Dufrene ◽  
Quentin Lampin ◽  
Paul Chollet ◽  
Hadi Ghauch ◽  
...  
Keyword(s):  
Belief Propagation ◽  
Block Codes ◽  
Linear Block Codes ◽  
Linear Block

NONPARAMETRIC DECODING OF BLOCK CODES IN CHANNELS WITH NON-GAUSSIAN NOISE

2013 ◽  
Vol 72 (11) ◽  
pp. 1029-1038
Author(s):  
M. Yu. Konyshev ◽  
S. V. Shinakov ◽  
A. V. Pankratov ◽  
S. V. Baranov
Keyword(s):  
Gaussian Noise ◽  
Block Codes ◽  
Non Gaussian

An Accelerated Cue Combination Principle Accounts for Multi-cue Depth Perception

2020 ◽  
Vol 3 (1) ◽  
pp. 10501-1-10501-9
Author(s):  
Christopher W. Tyler
Keyword(s):  
Belief Propagation ◽  
Probability Distributions ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Fusion Model ◽  
Cue Combination ◽  
Depth Estimate ◽  
Appropriate Behavior ◽  
Depth Cues ◽  
Bayesian Averaging

Abstract For the visual world in which we operate, the core issue is to conceptualize how its three-dimensional structure is encoded through the neural computation of multiple depth cues and their integration to a unitary depth structure. One approach to this issue is the full Bayesian model of scene understanding, but this is shown to require selection from the implausibly large number of possible scenes. An alternative approach is to propagate the implied depth structure solution for the scene through the “belief propagation” algorithm on general probability distributions. However, a more efficient model of local slant propagation is developed as an alternative.The overall depth percept must be derived from the combination of all available depth cues, but a simple linear summation rule across, say, a dozen different depth cues, would massively overestimate the perceived depth in the scene in cases where each cue alone provides a close-to-veridical depth estimate. On the other hand, a Bayesian averaging or “modified weak fusion” model for depth cue combination does not provide for the observed enhancement of perceived depth from weak depth cues. Thus, the current models do not account for the empirical properties of perceived depth from multiple depth cues.The present analysis shows that these problems can be addressed by an asymptotic, or hyperbolic Minkowski, approach to cue combination. With appropriate parameters, this first-order rule gives strong summation for a few depth cues, but the effect of an increasing number of cues beyond that remains too weak to account for the available degree of perceived depth magnitude. Finally, an accelerated asymptotic rule is proposed to match the empirical strength of perceived depth as measured, with appropriate behavior for any number of depth cues.

Performance Comparison between DPSK and OQPSK modulation approaches in multi environments channels with Matlab Simulink models

2019 ◽  
Vol 7 (1) ◽  
pp. 30-39
Author(s):  
Fatima faydhe Al- Azzawi ◽  
Faeza Abas Abid ◽  
Zainab faydhe Al-Azzawi
Keyword(s):  
Phase Shift ◽  
Fading Channels ◽  
Additive White Gaussian Noise ◽  
Block Codes ◽  
Performance Comparison ◽  
Phase Shift Keying ◽  
Differential Phase Shift ◽  
Matlab Simulink ◽  
Communication Industry ◽  
Shift Keying

Phase shift keying modulation approaches are widely used in the communication industry. Differential phase shift keying (DPSK) and Offset Quadrature phase shift keying (OQPSK) schemes are chosen to be investigated is multi environment channels, where both systems are designed using MATLAB Simulink and tested. Cross talk and unity of signals generated from DPSK and OQPSK are examined using Cross-correlation and auto-correlation, respectively. In this research a proposed system included improvement in bit error rate (BER) of both systems in  the additive white Gaussian Noise (AWGN) channel, by using the convolutional and block codes, by increasing the ratio of energy in the specular component to the energy in the diffuse component (k) and  the diversity order BER in the fading channels will be improved in both systems.    

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