2008•Unpublished venueRequires access

Error floor analysis for an ensemble of easily implementable irregular (2048, 1024) LDPC codes

Chad A. Cole

Open publisher page 6 citations

Abstract

The following paper describes a design process for constructing semirandom LDPC codes with characteristics that are suitable for a relatively simple implementation for both the encoding and decoding operation. The paper will focus on two particular code ensembles - both rate-1/2 (2048, 1024) designs with a specified irregular degree distribution. These code parameters were chosen simply because they satisfied a project design constraint, but the process described can be extended to most other low-density designs. Some new insights into the codepsilas performance curve behavior in the low error region under message passing decoding are presented.

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What this paper is about

The following paper describes a design process for constructing semirandom LDPC codes with characteristics that are suitable for a relatively simple implementation for both the encoding and decoding operation. The paper will focus on two particular code ensembles - both rate-1/2 (2048, 1024) designs with a specified irregular degree distribution. These code parameters were chosen simply because they satisfied a project design constraint, but the process described can be extended to most other low-density designs. Some new insights into the codepsilas performance curve behavior in the low error region under message passing decoding are presented.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The following paper describes a design process for constructing semirandom LDPC codes with characteristics that are suitable for a relatively simple implementation for both the encoding and decoding operation. The paper will focus on two particular code ensembles - both rate-1/2 (2048, 1024) designs with a specified irregular degree distribution. These code parameters were chosen simply because they satisfied a project design constraint, but the process described can be extended to most other low-density designs. Some new insights into the codepsilas performance curve behavior in the low error region under message passing decoding are presented.

Key concepts: Low-density parity-check code, Decoding methods, Computer science, Constraint (computer-aided design), Encoding (memory), Code (set theory), Focus (optics), Process (computing)

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