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Two simple stopping criteria for turbo decoding

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TLDR
This paper presents two simple and effective criteria for stopping the iteration process in turbo decoding with a negligible degradation of the error performance based on the cross-entropy (CE) concept.
Abstract
This paper presents two simple and effective criteria for stopping the iteration process in turbo decoding with a negligible degradation of the error performance. Both criteria are devised based on the cross-entropy (CE) concept. They are as efficient as the CE criterion, but require much less and simpler computations.

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Book

The art of error correcting coding

TL;DR: This chapter discusses encoding and decoding of binary BCH codes as well as some of the techniques used in the Viterbi algorithm, which simplifies the decoding process and increases the chances of success in the face of uncertainty.
Journal ArticleDOI

Early Stopping Criteria for Energy-Efficient Low-Latency Belief-Propagation Polar Code Decoders

TL;DR: Novel early stopping criteria for polar BP decoding to significantly reduce energy dissipation and decoding latency, and a novel channel condition estimation approach, which can help select different stopping criteria in different SNR regions are explored.
Journal ArticleDOI

A simple stopping criterion for turbo decoding

TL;DR: Simulations comparing the new technique with other well known stopping criteria show that the proposed SDR scheme achieves similar performance in terms of the bit error rate, frame error rate (FER), and the average number of iterations, while requiring lower complexity.
Journal ArticleDOI

Coded modulation using superimposed binary codes

TL;DR: This correspondence investigates in a comprehensive fashion a one-layer coding/shaping scheme resembling a perfectly cooperated multiple-access system and proposes an optimal soft-input-soft-output (SISO) demapping algorithm with quadratic rather than exponential complexity.
Journal ArticleDOI

An 8.29 mm $^{2}$ 52 mW Multi-Mode LDPC Decoder Design for Mobile WiMAX System in 0.13 $\mu$ m CMOS Process

TL;DR: This paper presents a multi-mode decoder design for Quasi-Cyclic LDPC codes for Mobile WiMAX system that can dynamically adjust the number of iterations when dealing with communication channels of different SNR values.
References
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Journal ArticleDOI

Near optimum error correcting coding and decoding: turbo-codes

TL;DR: A new family of convolutional codes, nicknamed turbo-codes, built from a particular concatenation of two recursive systematic codes, linked together by nonuniform interleaving appears to be close to the theoretical limit predicted by Shannon.
Journal ArticleDOI

Iterative decoding of binary block and convolutional codes

TL;DR: Using log-likelihood algebra, it is shown that any decoder can be used which accepts soft inputs-including a priori values-and delivers soft outputs that can be split into three terms: the soft channel and aPriori inputs, and the extrinsic value.
Proceedings ArticleDOI

Decoding via cross-entropy minimization

M. Moher
TL;DR: An intuitive algorithm by Lodge et al.