scispace - formally typeset
Journal ArticleDOI

A new multilevel coding method using error-correcting codes

Reads0
Chats0
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.

read more

Citations
More filters

Binary-coded modulation and applications in free-space optics

TL;DR: A metric scaling which can improve throughput performance of symbol-by-symbol decoding and an intriguing relationship between the generalized Gallager function and the performance of sum-product SBS decoding are discovered.
Proceedings ArticleDOI

A New Low-Complexity Polar Code Construction for BICM Over AWGN Channels

TL;DR: In this paper , a polar code construction for bit-interleaved coded modulation (BICM) transmission over an additive white Gaussian noise (AWGN) channel, assuming successive cancellation (SC) decoding, was investigated.
Journal ArticleDOI

Double-Layered Dual-Syndrome Trellis Codes Utilizing Channel Knowledge for Robust Steganography

TL;DR: Wang et al. as discussed by the authors proposed a framework of coding scheme extended from Dual-Syndrome Trellis Codes (Dual-STCs) for robust adaptive steganography, which can make use of channel knowledge to improve error correcting ability and meanwhile maintain high security.
Proceedings ArticleDOI

University Library Lending Process Analysis and Optimization

TL;DR: In this paper, the authors used the path planning problem in the process of lending book to improve the management efficiency of university library, and proposed an optimization solution without additional investment in the circumstances, and achieved the goal of improving and enhancing working efficiency and service quality.
References
More filters
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.