Optimal Codes in the Class of 2-Bit Delay Decodable Codes

For an integer <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k \geq 0$ </tex-math></inline-formula>, k-bit delay decodable code-tuples are source codes that use a finite number of code tables and allow a decoding delay of at most k bits. It is known that the class of k-bit delay decodable code-tuples can achieve a better average codeword length than Huffman codes for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k \geq 2$ </tex-math></inline-formula>. However, it is generally challenging to find an optimal k-bit delay decodable code-tuple (i.e., a k-bit delay decodable code-tuple achieving the optimal average codeword length among all k-bit delay decodable code-tuples) because the class of k-bit delay decodable code-tuples is a comprehensive and flexible class containing a variety of source code consisting of any finite number of code tables. AIFV (almost instantaneous fixed-to-variable length) codes are 2-bit delay decodable code-tuples consisting of two code tables satisfying certain constraints. This paper proves that the class of AIFV codes always contains an optimal 2-bit delay decodable code-tuple for any given source distribution. Thus, we can find an optimal 2-bit delay decodable code-tuple in the class of 2-bit delay decodable code-tuples by considering only the class of AIFV codes, which is a very restricted subclass compared to the whole class of 2-bit delay decodable code-tuples.

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Publication Details

Journal
IEEE Transactions on Information Theory
Published
2024-11-21
DOI
https://doi.org/10.1109/tit.2024.3503717
Citations
2
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.69

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article

Optimal Codes in the Class of 2-Bit Delay Decodable Codes

Ken‐ichi Iwata, Kengo Hashimoto
2 citations
IEEE Transactions on Information Theory
Coding theory and cryptography
0.69
article

Optimal Codes in the Class of 2-Bit Delay Decodable Codes

Ken‐ichi Iwata, Kengo Hashimoto
article en
2 citations

Abstract

For an integer <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k \geq 0$ </tex-math></inline-formula>, k-bit delay decodable code-tuples are source codes that use a finite number of code tables and allow a decoding delay of at most k bits. It is known that the class of k-bit delay decodable code-tuples can achieve a better average codeword length than Huffman codes for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k \geq 2$ </tex-math></inline-formula>. However, it is generally challenging to find an optimal k-bit delay decodable code-tuple (i.e., a k-bit delay decodable code-tuple achieving the optimal average codeword length among all k-bit delay decodable code-tuples) because the class of k-bit delay decodable code-tuples is a comprehensive and flexible class containing a variety of source code consisting of any finite number of code tables. AIFV (almost instantaneous fixed-to-variable length) codes are 2-bit delay decodable code-tuples consisting of two code tables satisfying certain constraints. This paper proves that the class of AIFV codes always contains an optimal 2-bit delay decodable code-tuple for any given source distribution. Thus, we can find an optimal 2-bit delay decodable code-tuple in the class of 2-bit delay decodable code-tuples by considering only the class of AIFV codes, which is a very restricted subclass compared to the whole class of 2-bit delay decodable code-tuples.

IEEE Transactions on Information TheoryVol. 71(1)
University of Fukui (JP)
KIOXIA Holdings Corporation, Japan Society for the Promotion of Science
Openalex Percentile: Top 23%
Coding theory and cryptography
0.69
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Optimal Codes in the Class of 2-Bit Delay Decodable Codes — Ken‐ichi Iwata, Kengo Hashimoto · IEEE Transactions on Information Theory (2024) | TGRS Research Map | TGRS