IFSP 2025 - 5th International Forum on Signal Processing(IFSP 2025)

Website http://www.ifsp.net/ | Edit Freely

Category Signal Processing

Deadline: November 25, 2024 | Date: January 03, 2025-January 05, 2025

Venue/Country: Xi'an, China

Updated: 2024-04-10 17:39:39 (GMT+9)

Call For Papers - CFP

Xi'an, China | January 3-5, 2025

It is with great pleasure that we invite you to the 5th International Forum on Signal Processing (IFSP 2025) in Xi'an, China during January 3-5, 2025. It is organized by Xi'an University of Posts & Telecommunications, China; hosted by School of Communications and Information Engineering & School of Artificial Intelligence, Xi'an University of Posts & Telecommunications, China and Shaanxi Key Laboratory of Information Communication Network and Security, China.

IFSP 2025 is dedicated to promoting research and development in all aspects of signal processing, and we welcome paper submissions from all branches of signal processing, as well as their applications or other related topic areas. Our areas of interest include, but are not limited to, image and video processing, speech and audio processing, signal processing for communication systems, signal processing for biomedical applications, machine learning for signal processing.

★Publication

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings, which will be indexed by Ei Compendex, Scopus, etc.

★Topics

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

Track 1: Image and video processing

- Image and video compression

- Image and video analysis and segmentation

- Image and video enhancement and restoration

- 3D imaging and visualization

Track 2: Speech and audio processing

- Speech recognition and synthesis

- Audio analysis and processing

- Speaker recognition and verification

- Speech enhancement and dereverberation

Track 3: Signal processing for communication systems

- Wireless communication systems

- Digital signal processing for communications

- MIMO systems and space-time processing

- Channel estimation and equalization

Track 4: Signal processing for biomedical applications

- Biomedical signal processing

- Medical imaging and image processing

- Biosignal analysis and classification

- Brain-computer interfaces

Track 5: Machine learning for signal processing

- Deep learning for signal processing

- Reinforcement learning for signal processing

- Sparse signal processing

- Dimensionality reduction techniques

Track 6: Signal processing for sensor networks

- Distributed signal processing

- Sensor data fusion

- Sensor localization and tracking

- Energy-efficient signal processing for sensor networks

Track 7: Signal processing for control and automation

- Control theory and systems

- Robotics and automation

- Intelligent control systems

- Adaptive and nonlinear control systems

Track 8: Signal processing for multimedia applications

- Multimedia communication systems

- Multimedia content analysis and indexing

- Multimedia security and forensics

- Human-computer interaction

Track 9: Signal processing for security and surveillance

- Video surveillance systems

- Object recognition and tracking for security

- Biometric signal processing

- Signal processing for encryption and decryption

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

★Submission Guideline

♢ English is the official language. Paper should be prepared and presented in English.

♢ Full paper (no less than 8 Pages in single-column format) submission is required for Publication and Presentation. For presentation only, just send us the abstract.

♢ Submission:

- By online submission system: http://confsys.iconf.org/submission/ifsp2025

- Submit to ifsp_contact163.com as attachment. The email subject should be named as "Submission-IFSP 2025-Full Paper/ Abstract"

★Contact Us

Conference Secretary: Ms. Joie Wu

Email: ifsp_contact163.com

Tel: +86-18302820449

Website: http://www.ifsp.net/

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