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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, EMM | 2024-05-30 13:40 |
Chiba | Chiba University (Nishi-Chiba Campus) | Maximum redundancy of ternary AIFV codes is 1/2 Mayu Mori, Kengo Hashimoto, Ken-ichi Iwata (Univ. of Fukui), Hirosuke Yamamoto (The Univ. of Tokyo) |
(To be available after the conference date) [more] | |
| IN, RCS, NV (Joint) |
2024-05-31 09:00 |
Fukuoka | Fukuoka University | [Tutorial Lecture]
Decision making via End-to-End Lossy Distributed Wireless Cooperative Networks
-- A Distributed Hypothesis Testing based Formulation -- Tad Matsumoto (IMT-Atlantique, JAIST) |
(To be available after the conference date) [more] | |
| IN, RCS, NV (Joint) |
2024-05-31 15:05 |
Fukuoka | Fukuoka University | [Encouragement Talk]
NOMA-Based Highly-Efficient Low-Latency HARQ Method with Inter-Base Station Cooperation for URLLC Kenichi Higuchi, Ryota Kobayashi, Takanori Hara (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic Holdings) |
(To be available after the conference date) [more] | |
| IT, EMM | 2024-05-30 16:00 |
Chiba | Chiba University (Nishi-Chiba Campus) | Asymmetric encoding-decoding schemes for first-order Markov sources Hirosuke Yamamoto (U. of Tokyo), Ken-ichi Iwata (U.of Fukui) |
(To be available after the conference date) [more] | |
| SR | 2024-05-21 10:30 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Short Paper]
Distributed Learning with Deep Joint Source Channel Coding for Overfitting Avoidance Issa Matsumura, Katsuya Suto (UEC) |
(To be available after the conference date) [more] | |
| RCC, ISEC, IT, WBS | 2024-03-14 10:20 |
Osaka | Osaka Univ. (Suita Campus) |  IT2023-111 ISEC2023-110 WBS2023-99 RCC2023-93 |
This paper deals with variable-length lossy source coding in which the criteria are a cumulant generating function of co... [more] | IT2023-111 ISEC2023-110 WBS2023-99 RCC2023-93 pp.238-240 |
| CS | 2023-11-09 10:55 |
Shizuoka | Plaza Verde | Deep Joint Source-Channel Coding using Overlap Image Division for Block Noise Reduction Ryunosuke Yamamoto, Yoshiaki Inoue, Daisuke Hisano (Osaka Univ.) CS2023-65 |
Deep Joint Source-Channel Coding (Deep JSCC), which uses deep learning to perform source and channel coding simultaneous... [more] | CS2023-65 pp.16-18 |
| SR | 2023-11-10 10:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Short Paper]
On Model Transfer with Deep Joint Source Channel Coding Katsuya Suto, Issa Matsumura, Junichiro Yamada (UEC) SR2023-58 |
Based on the source channel separation theorem, the current multimedia transfer system employs independently designed so... [more] | SR2023-58 pp.61-63 |
| SR | 2023-11-10 11:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Short Paper]
Model Sharing and Learning for Visually Secure Deep Joint Source Channel Coding Yuyang Fu, Katsuya Suto (UEC) SR2023-59 |
Research and development of Deep Joint Source Channel Coding (DeepJSCC) technology, which is a data-driven design of inf... [more] | SR2023-59 pp.64-66 |
| MIKA (3rd) |
2023-10-11 14:30 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Performance Evaluation of MIMO Transmission in Information Source Communication Channel Batch Coded Modulation Based on Deep Learning Shion Inokuma, Yuki Sasaki (Tokyo Univ. of Science), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT), Kazuki Maruta (Tokyo Univ. of Science) |
We present the results of a fundamental investigation of deep learning-based Joint Source-Channel Coding and Modulation ... [more] | |
| IT | 2023-08-03 13:25 |
Kanagawa | Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
Polarization Analysis for Joint Source-Channel Coding with Side Information Yuki Nagai, Hideki Yagi (UEC) IT2023-15 |
The polar codes, introduced by Arıkan, use a technique called channel polarization and can achieve the capacity of a giv... [more] | IT2023-15 pp.7-12 |
| IT | 2023-08-03 14:30 |
Kanagawa | Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
An Asymmetric Encoding-Decoding Scheme for Lossless Data Compression Hirosuke Yamamoto (Univ. of Tokyo), Ken-ichi Iwata (Univ. of Fukui) IT2023-17 |
ANS (Asymmetric Numeral Systems) are new lossless data-compression-coding systems that can achieve almost the same compr... [more] | IT2023-17 pp.17-22 |
| CS | 2023-07-28 14:10 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry | Impact of Learning Models on Deep Joint Source Channel Coding Adaptable to 5G Systems Ryunosuke Yamamoto, Keigo Matsumoto, Yoshiaki Inoue (Osaka Univ.), Yuko Hara-Azumi (Tokyo Tech), Kazuki Maruta (TUS), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ.) CS2023-56 |
With the development of 5G technology and the proliferation of IoT devices, Deep Joint Source-Channel Coding (Deep JSCC)... [more] | CS2023-56 pp.151-156 |
| MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-26 10:15 |
Tokyo | TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
A Study on the Effect of Adaptive Coding and Modulation for High-Throughput Satellite on Data Rates with Variation in Rainfall Takahiro Ebihara, Tetsushi Ikegami (Meiji Univ.) SAT2023-7 MICT2023-7 |
The effect of using ACM(Adaptive Coding and Modulation) on improving data rates in Ka-band High Throughput Satellite(HTS... [more] | SAT2023-7 MICT2023-7 pp.32-37 |
| SR | 2023-05-11 15:10 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
Continuous Compressible Deep Joint Source Channel Coding Junichiro Yamada, Katsuya Suto (UEC) SR2023-11 |
Deep Joint Source Channel Coding (DeepJSCC), which designs a source and channel coding model with deep neural networks a... [more] | SR2023-11 pp.58-60 |
| RCC, ISEC, IT, WBS | 2023-03-14 13:00 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Exponential Strong Converse for Source Coding with Encoded Side Information
-- Comparison with Source Coding with Non-encoded Side Information -- Daisuke Takeuchi, Shun Watanabe (TUAT) IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97 |
The source coding problem with encoded side information is considered. A lower bound on the strong converse exponent has... [more] | IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97 pp.209-211 |
| RCC, ISEC, IT, WBS | 2023-03-14 13:50 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
A Construction Method of Alphabetic Codes Allowing N-bit Decoding Delays Daichi Ueda, Ken-ichi Iwata (Univ. of Fukui), Hirosuke Yamamoto (The Univ. of Tokyo) IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99 |
As an extension of the AIFV and AIFV-m codes that allow decoding delay, Sugiura, Kamamoto, and Moriya proposed the N-bit... [more] | IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99 pp.218-223 |
| RCC, ISEC, IT, WBS | 2023-03-14 14:15 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Construction of Grammar-Based Codes Using the LZ78 Code and Its Variants Mitsuharu Arimura (Shonan Inst. Tech.) IT2022-103 ISEC2022-82 WBS2022-100 RCC2022-100 |
It is shown by Kieffer and Yang that Lempel-Ziv78 (LZ78) method can be implemented as a variation of grammar-based code.... [more] | IT2022-103 ISEC2022-82 WBS2022-100 RCC2022-100 pp.224-229 |
| SIS | 2023-03-02 11:00 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
Blink detection from one-dimensional face signal by using convolutional sparse dictionary learning Souichiro Maruyama, Makoto Nakashizuka (CIT) SIS2022-40 |
In this report, a blink detection method from average intensities of whole facial videos using convolutional dictionary... [more] | SIS2022-40 pp.1-4 |
| IT, RCS, SIP | 2023-01-24 10:25 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An improved context tree switching method by dynamic expansion and pruning of context tree Masaya Ootsu, Hideki Yagi (UEC) IT2022-36 SIP2022-87 RCS2022-215 |
The Context Tree Weighting (CTW) method is a sequential lossless universal coding algorithm for tree sources with good p... [more] | IT2022-36 SIP2022-87 RCS2022-215 pp.42-47 |
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