2012Unpublished venueRequires access

Performance Analysis of LT Codes with Different Degree Distribution

Zhu Zhiliang, Liu Sha, Zhang Jiawei, Zhao Yuli, Hai Yu

Open publisher page 8 citations

Abstract

Degree distribution lies at the heart of design an LT code. It affects the encoding and decoding complexity and error performance of LT code. In this paper, some metrics of well-design LT code such as average degree, release probability, overhead factor is analyzed. It will compare the metrics among robust LT code, sub optimal LT code and SF-LT code. Moreover, it provides some mathematical guideline on how to design a well designed LT code.

About this research paper

What this paper is about

Degree distribution lies at the heart of design an LT code. It affects the encoding and decoding complexity and error performance of LT code. In this paper, some metrics of well-design LT code such as average degree, release probability, overhead factor is analyzed. It will compare the metrics among robust LT code, sub optimal LT code and SF-LT code. Moreover, it provides some mathematical guideline on how to design a well designed LT code.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Degree distribution lies at the heart of design an LT code. It affects the encoding and decoding complexity and error performance of LT code. In this paper, some metrics of well-design LT code such as average degree, release probability, overhead factor is analyzed. It will compare the metrics among robust LT code, sub optimal LT code and SF-LT code. Moreover, it provides some mathematical guideline on how to design a well designed LT code.

Key concepts: Code (set theory), Computer science, Decoding methods, Degree (music), Degree distribution, Constant-weight code, Encoding (memory), Overhead (engineering)

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