2002Unpublished venueRequires access

Recursive systematic convolutional codes and application to parallel concatenation

Punya Thitimajshima

Open publisher page 7 citations

Abstract

This paper deals with a new class of convolutional codes called recursive systematic convolutional (RSC) codes. These codes are very attractive when compared with the best known convolutional codes at low signal to noise ratio (SNR) and high code rate. A comparison with the best known convolutional codes is performed in terms of weight spectrum and bit error rate (BER) on a memoryless Gaussian channel. A new design of parallel concatenation is proposed, well matched to RSC codes and much more attractive than serial concatenation for it needs only one clock timing recovery for the decoding.

About this research paper

What this paper is about

This paper deals with a new class of convolutional codes called recursive systematic convolutional (RSC) codes. These codes are very attractive when compared with the best known convolutional codes at low signal to noise ratio (SNR) and high code rate. A comparison with the best known convolutional codes is performed in terms of weight spectrum and bit error rate (BER) on a memoryless Gaussian channel. A new design of parallel concatenation is proposed, well matched to RSC codes and much more attractive than serial concatenation for it needs only one clock timing recovery for the decoding.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper deals with a new class of convolutional codes called recursive systematic convolutional (RSC) codes. These codes are very attractive when compared with the best known convolutional codes at low signal to noise ratio (SNR) and high code rate. A comparison with the best known convolutional codes is performed in terms of weight spectrum and bit error rate (BER) on a memoryless Gaussian channel. A new design of parallel concatenation is proposed, well matched to RSC codes and much more attractive than serial concatenation for it needs only one clock timing recovery for the decoding.

Key concepts: Convolutional code, Concatenation (mathematics), Serial concatenated convolutional codes, Concatenated error correction code, Computer science, Linear code, Turbo code, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Recursive systematic convolutional codes and application to parallel concatenation — Research Paper | ScholarLens