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Journal ArticleDOI

A new multilevel coding method using error-correcting codes

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TLDR
A new multilevel coding method that uses several error-correcting codes that makes effective use of soft-decisions to improve the performance of decoding and is superior to other multileVEL coding systems.
Abstract
A new multilevel coding method that uses several error-correcting codes is proposed. The transmission symbols are constructed by combining symbols of codewords of these codes. Usually, these codes are binary error-correcting codes and have different error-correcting capabilities. For various channels, efficient systems can be obtained by choosing these codes appropriately. Encoding and decoding procedures for this method are relatively simple compared with those of other multilevel coding methods. In addition, this method makes effective use of soft-decisions to improve the performance of decoding. The decoding error probability is analyzed for multiphase modulation, and numerical comparisons to other multilevel coding systems are made. When equally complex systems are compared, the new system is superior to other multilevel coding systems.

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Citations
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Proceedings ArticleDOI

Multilevel Coding for Nonlinear ISI Channels

TL;DR: A linear complexityequalization scheme using nonlinear ISI cancellation is presented, as well as an equalization scheme based on the reduced-state BCJR algorithm for improved performance at a slightly higher complexity.
Journal ArticleDOI

Throughput enhancing concatenated codes

TL;DR: In this study, throughput enhancing concatenated codes (TECCs) are constructed here aiming to increase the throughput of C by 25–37.5% without sacrificing the performance of C.
Journal ArticleDOI

A novel unequal error protection (UEP) scheme using D-STTD for multicast service

TL;DR: The proposed UEP scheme using D-STTD in 4times2 MIMO systems can achieve significant MBS system performance gain compared to those baseline systems and a general design framework is formulated to determine various parameters of the proposed U EP scheme.
References
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Journal ArticleDOI

Convolutional Codes and Their Performance in Communication Systems

TL;DR: This tutorial paper begins with an elementary presentation of the fundamental properties and structure of convolutional codes and proceeds with the development of the maximum likelihood decoder, which yields for arbitrary codes both the distance properties and upper bounds on the bit error probability.
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Short convolutional codes with maximal free distance for rates 1/2, 1/3, and 1/4 (Corresp.)

TL;DR: In this paper, the authors gave a tabulation of binary convolutional codes with maximum free distance for rates of 1/2, 1/3, and 1/4 for all constraint lengths up to and including nu = 14.
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Short binary convolutional codes with maximal free distance for rates 2/3 and 3/4 (Corresp.)

TL;DR: In this paper, a search procedure was developed to find good short binary (N,N - 1) convolutional codes using simple rules to discard from the complete ensemble of codes a large fraction whose free distance d{free} either cannot achieve the maximum value or is equal to d_{free} of some code in the remaining set.
Journal ArticleDOI

Correction of errors in multilevel Gray coded data

TL;DR: Certain classes of low-rate binary codes that have simple decoding algorithms can be used as underlying codes in the construction of high-rate easily decodable i -compressed codes, which have higher rates than binary codes of comparable length and number of correctable errors.