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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
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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) 
Topics (in English)  
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  
Keyword(2) Lossy Forwarding  
Keyword(3) Distributed Multi-terminal Source Coding  
Keyword(4) 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
Date of Issue 2021-01-14 (IT, SIP, RCS) 


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