Sorry, this entry is only available in Japanese.
(日本語) 科学研究経費補助金挑戦的研究(開拓)採択
Paper Published in APSIPA Transactions on Signal and Information Processing
The following paper has been published in APSIPA Transactions on Signal and Information Processing (Q2: Information Systems).
It is a result of Grant-in-Aid for Scientific Research (A) “(JP22H00512) Locally Structured Unitary Networks and Tangent Space Learning for Dynamic Systems Modeling”.
It is Open Access. The source code is available at Code Ocean.
- Yasas Godage, Eisuke Kobayashi and Shogo Muramatsu, “Locally-Structured Unitary Network,” APSIPA Transactions on Signal and Information Processing, Vol. 13, Issue 1, DOI:10.1561/116.00000308, May 2024
- Godage Yasas, Kobayashi Eisuke & Muramatsu Shogo, “Locally Structured Unitary Network_APSIPA,” https://doi.org/10.24433/CO.5592566.v2
(日本語) IEEE AP-S Tokyo Chapter特別講演
(日本語) 映像情報メディア年報掲載
(日本語) 東京農工大学「信号・データ処理特論」ゲスト講師
(日本語) 京都大学第1回MATLABユーザー交流会
(日本語) 映メ学会メディア工学研究会2023年12月新潟開催報告
(日本語) 特許を取りました
Released AuGFT
Augmented Graph Fourier Transform (AuGFT) – File Exchange – MATLAB Central (mathworks.com) has been released.
It includes functions for augmented GFT, which facilitates the realization of real-valued filters for directed graph signals, and scripts for their application.
Please try them out.
Acknowledgements: This research was supported by Grant-in-Aid for Scientific Research 21H04596 and Grant-in-Aid for Scientific Research 22H00512.

