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Paper Abstract and Keywords
Presentation 2020-12-02 11:10
On the Optimality of the AIFV Code for Average Codeword Length
Kengo Hashimoto, Ken-ichi Iwata (Univ. of Fukui) IT2020-34
Abstract (in Japanese) (See Japanese page) 
(in English) McMillan's inequality proved that Huffman code attains an optimal average code length in a class of
source codes that can be uniquely decodable using a single code tree.
On the other hand, AIFV code can attain shorter average code length than Huffman code if it allows for a 2-bit decoding delay and two code trees.
This paper proves that AIFV code achieves an optimal average code length in a class of source codes allowing for a 2-bit decoding delay and two code trees.
Keyword (in Japanese) (See Japanese page) 
(in English) source coding / AIFV code / average code length / optimality / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 268, IT2020-34, pp. 56-61, Dec. 2020.
Paper # IT2020-34 
Date of Issue 2020-11-24 (IT) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IT  
Conference Date 2020-12-01 - 2020-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Lectures for Young Researchers, General 
Paper Information
Registration To IT 
Conference Code 2020-12-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On the Optimality of the AIFV Code for Average Codeword Length 
Sub Title (in English)  
Keyword(1) source coding  
Keyword(2) AIFV code  
Keyword(3) average code length  
Keyword(4) optimality  
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1st Author's Name Kengo Hashimoto  
1st Author's Affiliation University of Fukui (Univ. of Fukui)
2nd Author's Name Ken-ichi Iwata  
2nd Author's Affiliation University of Fukui (Univ. of Fukui)
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Speaker Author-1 
Date Time 2020-12-02 11:10:00 
Presentation Time 20 minutes 
Registration for IT 
Paper # IT2020-34 
Volume (vol) vol.120 
Number (no) no.268 
Page pp.56-61 
#Pages
Date of Issue 2020-11-24 (IT) 


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