posted by user: naoh || 7169 views || tracked by 15 users: [display]

APSIPA ASC 2013 : Asia-Pacific Signal and Information Processing Association 2013 Annual Summit and Conference

FacebookTwitterLinkedInGoogle

Link: http://wbcp.nsysu.edu.tw/apsipa2013/
 
When Oct 29, 2013 - Nov 1, 2013
Where Kaohsiung, Taiwan
Submission Deadline May 10, 2013
Notification Due Jul 30, 2013
Final Version Due Aug 30, 2013
Categories    signal processing
 

Call For Papers

Important Dates
Submission of Proposals for Special Sessions, Forum, Panel & Tutorial Sessions Apr.10, 2013
Submission of Full and Short Papers May 10, 2013
Submission of Papers in Special Sessions June 10, 2013
Notification of Papers Acceptance July 30, 2013
Submission of Camera Ready Papers Aug. 30, 2013
Author Registration Deadline Aug. 30, 2013
Tutorial Session Date Oct. 28, 2013
Summit and Conference Dates Oct. 29~Nov. 1, 2013
Issues
1. Biomedical Signal Processing and Systems (BioSiPS)
1.1 Biomedical Signal and Information: Theory and Methods
1.2 Medical Information and Telecare Systems
1.3 Neural Systems and Applications
1.4 Bio-inspired Signal Processing and System
1.5 Biomedical Circuits and Systems
2. Signal Processing Systems: Design and Implementation (SPS)
2.1 Nanoelectronics and gigascale systems
2.2 VLSI systems and applications
2.3 Embedded systems
2.4 3D Video Processing and Coding
2.5 High Efficiency Video Coding
3. Image, Video, and Multimedia (IVM)
3.1 Image/Video Processing, Coding and Analysis
3.2 Image/Video Storage, Retrieval and Authentication
3.3 Computer Vision and Graphics
3.4 Multimedia Systems and Applications
4. Speech, Language, and Audio (SLA)
4.1 Audio Processing
4.2 Speech Information Processing: Recognition, Synthesis,
Understanding, and Translation
4.3 Natural Language Processing: Language Modeling, Natural
Language Generation/Understanding, Machine Translation
5. Signal and Information Processing Theory and Methods (SIPTM)
5.1 Modern Signal Processing Theory and Method
5.2 Detection and Parameter Estimation
5.3 Array Processing and Multi-channels
5.4 Signal and Information Processing in Applications
6. Wireless Communications and Networking (WCN)
6.1 Information and Network Security
6.2 Wireless Communications and Networking
6.3 Standards and Emerging Technology
6.4 RF and Antennas

Submission of Papers
Prospective authors are invited to submit either full papers, up to 10 pages in length, or short papers up to 4 pages in length, where full papers will be for the single-track oral presentation and short papers will be mostly for poster presentation. The conference is also inviting student researchers to submit 1-page-short-paper to the Student Symposium. Paper submissions to Student Symposium follow the same layout as that of the main conference. The 1-page extended abstract describing the technical contribution should be submitted to the same online paper submission. The conference proceedings of the main conference will be published, available and maintained at the APSIPA website. The proceedings will be indexed by EI Compendex.

Related Resources

ICSPCS 2026   2026 5th International Conference on Signal Processing and Communication Security
IWPR 2026   SPIE--2026 11th International Workshop on Pattern Recognition (IWPR 2026)
IEEE ICCT-PACIFIC 2026   2026 IEEE 2nd International Conference on Consumer Technology - Pacific (ICCT-Pacific 2026)
CDKP 2026   15th International Conference on Data Mining & Knowledge Management Process
Signal 2026   13th International Conference on Signal and Image Processing
MSE 2026   10th International Conference on Materials Science and Engineering
ICIPAI&6th Sino-French workshop 2026   2026 3rd International Conference on Image Processing and Artificial Intelligence(ICIPAI2026) & 6th Sino-French workshop on Medical Image Analysis and Artificial Intelligence (MAI)
ASPIC 2026   2026 International Conference on Algorithms, Signal Processing and Intelligent Control
Asia EISC 2026   The 1st Asia Conference on Edge Intelligence and Service Computing
BDML 2026   7th International Conference on Big Data and Machine Learning