Advanced Digital Signal Processing for Future Digital Communications: 2nd Edition

Dear Colleagues,

Digital communication employs digital signal as a carrier to transmit messages, or uses digital signal to digitally modulate a carrier and then transmit messages. It has the characteristics of strong anti-interference ability, controllable transmission error, easy encryption, and easy storage. Digital communication systems occupy the dominant position of communication systems, widely used in mobile phones, computers, video telephones, network conferences, and so on. Digital communication systems are developing towards possessing high speed, large capacity, and long distance. Digital signal processing (DSP) is a process of transforming analog signals into digital signals using special technology to expand the processing. At present, digital signal processing technology has been applied in image processing, military, medical, communication fields, among others. In the future, digital signal processing will develop towards the research of fast and efficient algorithms, high-speed hardware implementation, and new application research.

This Special Issue focuses on the application of digital signal processing algorithms to future digital communication systems to help readers understand the motivations and methods of various signal processing algorithms, invoking them to undeveloped services as well as future scenarios of communication systems. Potential topics include, but are not limited to, the following:

• Advanced coding and modulation/waveform techniques;
• Agile and efficient multiple access techniques;
• MIMO signal processing techniques;
• Radar signal processing techniques;
• Reconfigurable intelligent surfaces-assisted techniques;
• Underwater signal processing techniques;
• Channel modeling, sensing, and measurement techniques;
• Sparse signal processing for grant-free massive connectivity;
• Signal processing optimization for federated learning.

Regarding Volume I, please refer to the following link (https://www.mdpi.com/journal/electronics/special_issues/N10CB7W699). All published papers can be accessed freely.

Dr. Da Chen
Prof. Dr. Kai Luo
Prof. Dr. Wei Peng
Guest Editors

Manuscript Submission Information

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