Session Details

[A-2]Information Theory

Wed. Sep 23, 2026 8:45 AM - 12:00 PM JST
Wed. Sep 23, 2026 11:45 PM - 3:00 AM UTC
Faculty of Information Science and Technology Bldg A-13(Hokkaido University)
Chair:HIDEKI YAGI, Ochiai Hideki

[A-2-01]Mother Encoder Matching for Searching Performance-Enhanced Punctured Convolutional Codes

〇Shota Sekiguchi1, Sen Moriya1 (1. Kindai University)

[A-2-02]A Study on Design SNR Optimization of Polar Codes for Successive Cancellation List Decoding

◎Hidetake Matsui Matsui1, Hideki Ochiai1 (1. The University of Osaka)

[A-2-03]電力効率に優れたシングルキャリア伝送に向けたAPSKコンステレーションの体系的設計手法

〇Eito Kurihara1, Hideki Ochiai1 (1. The University of Osaka)

[A-2-04]VVCにおける分散と輝度テクスチャを用いたブロック分割手法

〇Shoichi Mamiya1, Hiroe Iwasaki2, Ryusuke Egawa1 (1. Tokyo Denki Univ., 2. Tokyo University of Agriculture and Technology)

[A-2-05]Speeding up of computing matrix approximation using CUR factorization with singular value decay

◎Haruto Ishizaki1, Takafumi Miyata1 (1. Fukuoka institute Technology)

[A-2-06]A combination of two iterative algorithms for solving real symmetric positive definite eigenvalue problems

◎Tetsuya Koga1, Takafumi Miyata1 (1. Fukuoka Institute of Technology)

Break time

[A-2-07]Error and Continuity of Smooth Entropy

◎Yuki Ishikawa1, Hideki Yagi1 (1. The University of Electro-Communications)

[A-2-08]Discounted UCB Algorithm for Non-Stationary Sleeping Bandits

〇Daichi Fushihara1, Yuka Hashimoto1, Yoichi Matsuo1 (1. NTT, Inc.)

[A-2-09]Loss-Based Neuron Path Attribution for Time Series Prediction

◎Ayumi Seki1, Akihiro Kimura1, Satoshi Nishiyama1, Ken Takahashi1 (1. NTT Inc.)

[A-2-10]Recursive Reservoir Concatenation for Random-Valued Impulse Noise Removal

◎Takahiro Kawano1, Michiharu Maeda1 (1. Graduate School of Engineering, Fukuoka Institute of Techology)

[A-2-11]QuStitch: An Interactive Multi-Level Visualization for Lattice-Surgery Quantum Computation

◎Seita Tsuboi1, Leo Itoh1, Takuya Kasamura1, Junichiro Kadomoto1 (1. the university of Tokyo)

[A-2-12]Diversification of Quantum Kernels for Multiple Kernel Learning via Input Embedding Region Adjustment

〇Ryotaro Nagumo1, Hirokazu Shimauchi1 (1. Future Univ. Hakodate)