Paper Published in IAPSIPA Transactions on Signal and Information Processing

The following paper has been published in APSIPA Transactions on Signal and Information Processing (Q1: 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.

SCImago Journal & Country Rank


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.