Paper Abstract and Keywords |
Presentation |
2021-01-21 15:45
[Special Invited Talk]
Turbo Equalization to Lossless/Lossy Distributed Multiterminal Source Coding: How are they connected?
-- Towards Distributed Hypothesis Testing over IoT Networks -- Tadashi Matsumoto (JAIST) IT2020-80 SIP2020-58 RCS2020-171 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A goal of this talk is to provide the audience with the knowledge about how the presenter's research experiences and footprints have been evolved, and how they are connected, from Turbo equalization to Lossy Forward (LF) wireless relay systems and the Lossless/Lossy Distributed Source Coding techniques for correlated sources, all in wireless communications networks.
This talk further expands the LF techniques to Lossy case where a certain level of End-to-End distortion is accepted. This is in the scope that the objective of Internet-of-Things (IoT) is not to reproduce the original observations losslessly at the center, but to make correct judgement on some critical issues, and hence point-to-point communication does not have to be lossless. Finally, it is presented that how the CEO problem and the Distributed Hypothesis Testing problem which recently has attracted a lot of research interest are connected. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Turbo Equalization / Lossy Forwarding / Distributed Multi-terminal Source Coding / Lossy/Lossless / Rate Distortion / CEO Problem / Hypothesis Testing / IoT Networks |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 322, RCS2020-171, pp. 99-99, Jan. 2021. |
Paper # |
RCS2020-171 |
Date of Issue |
2021-01-14 (IT, SIP, RCS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and 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) |
Download PDF |
IT2020-80 SIP2020-58 RCS2020-171 |
Conference Information |
Committee |
SIP IT RCS |
Conference Date |
2021-01-21 - 2021-01-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
RCS |
Conference Code |
2021-01-SIP-IT-RCS |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Turbo Equalization to Lossless/Lossy Distributed Multiterminal Source Coding: How are they connected? |
Sub Title (in English) |
Towards Distributed Hypothesis Testing over IoT Networks |
Keyword(1) |
Turbo Equalization |
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Lossy Forwarding |
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Distributed Multi-terminal Source Coding |
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Lossy/Lossless |
Keyword(5) |
Rate Distortion |
Keyword(6) |
CEO Problem |
Keyword(7) |
Hypothesis Testing |
Keyword(8) |
IoT Networks |
1st Author's Name |
Tadashi Matsumoto |
1st Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
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Speaker |
Author-1 |
Date Time |
2021-01-21 15:45:00 |
Presentation Time |
50 minutes |
Registration for |
RCS |
Paper # |
IT2020-80, SIP2020-58, RCS2020-171 |
Volume (vol) |
vol.120 |
Number (no) |
no.320(IT), no.321(SIP), no.322(RCS) |
Page |
p.99 |
#Pages |
1 |
Date of Issue |
2021-01-14 (IT, SIP, RCS) |
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