The 2nd International Forum on Signal Processing (IFSP 2022) Online

Jan 7 - 9, 2022 · ,
The 2nd International Forum on Signal Processing (IFSP 2022)--EI Compendex, Scopus

Abbreviation: IFSP 2022

Beijing, China

January 7-9, 2022

Publication:

Accepted papers of IFSP 2022 after proper registration and presentation will be published in the conference proceedings, which will be submitted for indexing by Ei Compendex, Scopus, etc.

Submission Guideline:

Language: All submissions should be written in English.

Submission Types: Abstract submission for presentation only without publication; Full paper submission for both presentation and publication.

Paper Length: The submitted papers should be no less than 8 pages. The maximum paper length is 10 printed pages, including all figures, tables, and references, and extra page will be charged.

How to submit? Send to official email directly: ifsp@iacsit.org or Submit via Online submission system: http://confsys.iconf.org/submission/ifsp2022

Online Presentation:

As your safety is our top priority and concern, the conference has added online attendance / presentation for participants in case of you cannot attend the conference because of the COVID-19. Participants will benefit of registration fee reduction after choosing online attendance / presentation. Accepted papers after registration will still be published normally.

Contact:

Conference secretary: Ms. Reina Wang

Email: ifsp@iacsit.org

WeChat: iacsit2009

Tel: +86-18302820449

Website: http://ifsp.net/

Office Hour: 9:30--18:00, Monday to Friday (GMT+8 Time Zone)

Topics

▪ Acoustic and Vibration Signal Processing

▪ Audio & Acoustic Signal Processing

▪ Biomedical Signal & Image Processing

▪ Biomedical Signal Processing

▪ Communication Signal Processing

▪ Data Processing

▪ Design & Implementation of Signal Processing

▪ Detection and Estimation

▪ Digital Signal Processing

▪ Earth Resources Signal Processing

▪ Filtering

▪ Geophysical and Astrophysical Signal Processing

▪ Graph Theory & Signal Processing

▪ Image Processing

▪ Industrial Applications

▪ Industrial Signal Processing

▪ Machine Learning for Signal Processing

▪ Multi-dimensional Signal Processing

For more topics, please check:http://ifsp.net/cfp.html

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