9th International Conference on Signal Processing (ICOSP 2023)

*Call for Paper*
1. Signal Processing for Communications:
▪ Channel coding and decoding
▪ Equalization and synchronization
▪ Modulation and demodulation

2. Audio and Speech Processing:
▪ Speech analysis and synthesis
▪ Audio and speech recognition
▪ Audio and speech enhancement

3. Image and Video Processing:
▪ Image and video compression
▪ Image and video restoration
▪ Image and video analysis

4. Biomedical Signal Processing:
▪ Electrocardiogram (ECG) analysis
▪ Electroencephalogram (EEG) analysis
▪ Medical imaging and diagnosis

5. Multidimensional Signal Processing:
▪ Array signal processing
▪ Tensor signal processing
▪ Multidimensional filtering and transforms

6. Pattern Recognition and Machine Learning for Signal Processing:
▪ Statistical signal processing
▪ Bayesian inference and estimation
▪ Supervised and unsupervised learning

7. Signal Processing for Control and Robotics:
▪ Control systems theory
▪ Robust and adaptive control
▪ Nonlinear control

8. Signal Processing for Radar and Sonar Applications:
▪ Radar and sonar signal processing
▪ Signal processing for imaging and sensing
▪ Detection and tracking algorithms

For more topics, please visit http://www.icosp.org/cfp.html

*Submission*
-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 4 full pages, including all figures, tables, and references. When it exceeds 5 pages, extra page will be charged at 60 USD / 400 RMB per page.
-Submit paper via online system: http://confsys.iconf.org/submission/icosp2023
or via mailbox: [email protected], the email subject should be named as "Submission-ICOSP 2023-Full Paper/ Abstract".
More detail about submission, please visit at http://icosp.org/sub.html.

*Contact*
Conference secretary: Ms. Yolanda Dong
Tel: +86-18080013977
Email: [email protected]
Office Hour: 9:30--18:00, Monday to Friday (GMT+8 Time Zone)