International Symposium on Signal Processing Systems SSPS on March 25-27, 2022 in Xi'an, China
- Short Name: SSPS
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.ssps.net/
- Program URL: http://www.ssps.net/prog.html
- Contact URL: http://www.ssps.net/contact.html
- Contact E-mail: [email protected]
- Location: Xi'an, China
- Date: March 25-27, 2022
- Final Submission: February 10, 2022
- Organization: International Academy of Computing Technology
- Conference Tags: machine learning signal processing signal computing biomedical signal processing signal transduction
Publication:
All submissions will be thoroughly peer-reviewed by experts based on originality, significance and clarity. All accepted and presented papers will be published in International Conference Proceedings Series by ACM (ISBN: 978-1-4503-9610-3), which will be archived at Online digital library, and will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Conference Schedule:
March 25, 2022 | 10:00 am - 5:00 pm: Pre-conference Registration & Information Booth / Pre-test for Online Conference
March 26, 2022 | 09:00 am - 12:00 pm: Invited Talks (Keynote Speech, Plenary Speech, Invited Speech)
March 26, 2022 | 1:00 pm - 6:00 pm: Authors' Presentations in Parallel Sessions / Poster Session & Special Sessions
March 27, 2022 | 09:00 am - 12:00 pm: Academic Visiting or Tour
Contact:
Ms. Echo Yang (Conference Secretary)
Email: [email protected]
Phone:+86-18081079313; (+86) 28-86256789
Wechat: 18081079313
Software Implementation of Signal Processing Systems
*Application-specific instruction-set processor (ASIP) architectures and systems
*SIMD, VLIW, and multi-core CPU architectures
*GPU-based massively parallel implementations
Hardware Implementation of Signal Processing Systems
*High-performance VLSI systems
*FPGA and reconfigurable architecture-based systems
*Processing-in-memory signal processing systems
Machine Learning for Signal Processing
*Deep learning/machine learning/AI algorithms
*Tools/platforms for AI
*Hardware/neuromorphic accelerators
Name: International Academy of Computing Technology
Website: http://www.iact.net/
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