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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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Journal ArticleDOI

Sphere-bound-achieving coset codes and multilevel coset codes

TL;DR: It is shown that the sphere bound can be approached by a large class ofcoset codes or multilevel coset codes with multistage decoding, including certain binary lattices, andExponential error bounds for coset code bounds are developed, generalizing Poltyrev's (1994) bounds for lattices.
Journal ArticleDOI

Multilevel codes based on partitioning

TL;DR: The authors show that coset codes and indeed any codes which rely on partitioning of the signal set are all subclasses of the proposed coding scheme, leading to reduced complexity in comparison with previously published schemes.
Journal ArticleDOI

Multilevel codes for unequal error protection

TL;DR: Two combined unequal error protection (UEP) coding and modulation schemes are proposed, based on partitioning a signal constellation into disjoint subsets in which the most important data sequence is encoded, using most of the available redundancy, to specify a sequence of subsets.
Book

Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems

Lajos Hanzo, +1 more
TL;DR: Adaptive Wireless Transceivers provides the reader with a broad overview of near-instantaneously adaptive transceivers in the context of TDMA, CDMA and OFDM systems as discussed by the authors.

Broad-band OFDM radio transmission for multimedia applications : Video Transmission for Mobile Multimedia Applications

TL;DR: The objective of this paper is to describe the large potential, the flexibility and adaptivity of the OFDM transmission technique in frequency-selective and time variant radio channels.
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.