Revolutionizing Signal and Information Processing: Theory and Applications (Invited Papers from APSIPA ASC 2023)

Dear Colleagues,

This Special Issue, “Revolutionizing Signal and Information Processing: Theory and Applications”, is aimed at bringing together the latest research on cutting-edge technologies, innovative techniques, and new theories that have the potential to revolutionize the way signals and information are processed. The purpose of this Special Issue is to provide a platform for researchers to showcase their work on emerging technologies and their applications, novel algorithms, and innovative techniques that can change the field of signal and information processing.

The scope of this Special Issue encompasses a wide range of topics, including but not limited to machine learning, deep learning, artificial intelligence, signal processing, image processing, audio processing, speech processing, natural language processing, data analytics, and big data processing. The Special Issue welcomes original research articles, reviews, and perspectives that address the challenges and opportunities in the field of signal and information processing.

The Special Issue will supplement the existing literature in the field by providing a platform for researchers to showcase their latest research and developments. This Special Issue will not only provide a snapshot of the current state-of-the-art but will also highlight future directions and potential applications of emerging technologies. The Special Issue will also provide readers with an opportunity to learn about the latest research in the field, and to gain insights into the challenges and opportunities facing the field. This Special Issue also provides a platform for APSIPA ASC 2023 attendees to publish their conference extension articles.

Overall, this Special Issue will be of great interest to researchers, students, and practitioners in the field of signal and information processing. It will provide readers with an up-to-date view of the latest advances and future directions in the field, and will serve as a valuable resource for further research and development in this important area.

Prof. Dr. Ting-Lan Lin
Dr. Wei-Chang Chen
Dr. Ming-An Chung
Guest Editors

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