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.
Authors
- Ken‐ichi Iwata (ORCID: https://orcid.org/0000-0002-8838-375X)
- Kengo Hashimoto (ORCID: https://orcid.org/0000-0001-5836-0023)
Institutions
- University of Fukui (JP)
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
Funders
- KIOXIA Holdings Corporation
- Japan Society for the Promotion of Science