Asia Symposium on Signal Processing on December 22-24, 2025 in Tokyo, Japan

Asia Symposium on Signal Processing on December 22-24, 2025 in Tokyo, Japan

Publication:

Submitted papers will be peer-reviewed by conference committees, and accepted papers will be included into ASSP 2025 Conference Proceedings.

 

Submission:

English is the official language of the conference.

The full paper submitted should be laid out in Double-Columns, no less than 4 full pages and no more than 10 pages. Please prepare your manuscript carefully according to the Conference Template.

-Abstract submission is acceptable, but it will be accepted for presentation only (not for publication).

-Please submit Full Paper/Abstract to Submission System: https://www.zmeeting.org/submission/assp2025

-Full paper template: http://www.assp.net/instruct8.5x11x2.doc (doc.)

-Abstract template：https://www.assp.net/abstract_template.docx

-LATEX：https://www.assp.net/ieee-conference-latex-template.zip

For more details about submission, please visit http://www.assp.net/sub.html

 

Conference Program:

December 22, 2025 | Registration & Opening Ceremony

December 23, 2025 | Keynote Speeches & Parallel Sessions

December 24, 2025 | Poster Sessions & Closing Ceremony

 

Contact:

Conference Secretary: Ms. Winifred

Email: [email protected]

Web: https://www.assp.net/

Call For Paper:

Topics of interest for submission include, but are not limited to:

Track 1: Signal Analysis and Processing

Adaptive Filtering & Signal Processing

Analog and Mixed Signal Processing

Applications of Signal Processing

 

Track 2: Image Processing Technology and Methods

Biometrics & Authentification

Image and Multidimensional Signal Processing

Image Processing & Understanding

 

Track 3: Communication and Signal System

Ad-Hoc and Sensor Networks

Communication and Broadband Networks

Communication Signal processing

 

Track 4: Machine Learning, AI, and Pattern Recognition

Machine Learning for Signal Processing

Soft Computing and Machine Learning for SP & Communications

Statistic Learning & Pattern Recognition

For more details about topics, please visit: http://www.assp.net/cfp.html

 

Name: YOUNG

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