2005Unpublished venueRequires access

Asymptotically good codes with high iterative decoding performances

Iryna Andriyanova, Jean–Pierre Tillich, J.-C. Carlach

Open publisher page 9 citations

Abstract

We investigate a new class of codes which is in some senses a hybrid between LDPC codes and turbo-codes. We show that when the parameters of this class are well chosen they have very good iterative decoding performances and at the same time a minimum distance which is typically linear in the code length

About this research paper

What this paper is about

We investigate a new class of codes which is in some senses a hybrid between LDPC codes and turbo-codes. We show that when the parameters of this class are well chosen they have very good iterative decoding performances and at the same time a minimum distance which is typically linear in the code length

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We investigate a new class of codes which is in some senses a hybrid between LDPC codes and turbo-codes. We show that when the parameters of this class are well chosen they have very good iterative decoding performances and at the same time a minimum distance which is typically linear in the code length

Key concepts: Turbo code, Low-density parity-check code, Decoding methods, Serial concatenated convolutional codes, Concatenated error correction code, Computer science, Linear code, Code (set theory)

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