Theory and Applications in Digital Signal Processing

Dear Colleagues,

This Special Issue (SI) encourages to present research achievement of new theories and methods of signal processing the researchers develop. Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The application of digital computation to signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression. However, most of the challenges arising from digital signal processing in still need to be researched regardless of the application, because many research questions remain. Many limitations exist in various application environments, and the latest research to solve these problems is being studied by many researchers. We look forward to the latest research findings that suggest theories and practical solutions for various application based on Digital Signal Processing (DSP).

Authors are encouraged to submit contributions in any of the following or related areas for DSP:

• Information theory based on DSP;
• Algorithms based on DSP;
• Real-time computing based on DSP;
• Applications based on DSP;
• Image & video processing;
• Display technology based on DSP;
• Machine learning based on DSP;
• Data hiding & Watermarking;
• Pattern recognition;
• Learning mechanism.

Prof. Dr. Cheonshik Kim
Guest Editor

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