Teaching Reform and Practice of "Modern Signal Processing" in the Intelligent Era

Fang He; Weimin Jia; Jianwei Zhao; Lei Pan; Nan Jiang

doi:10.54691/qr9rwm56

Authors

Fang He
Weimin Jia
Jianwei Zhao
Lei Pan
Nan Jiang

DOI:

https://doi.org/10.54691/qr9rwm56

Keywords:

Artificial Intelligence; Modern Signal Processing; Teaching Reform.

Abstract

With the rapid development of technology, modern signal processing has been widely applied in various fields such as communication, image processing, medical imaging, and bio-informatics. For graduate students majoring in electronic information engineering, communication engineering, and related fields, mastering the theories and techniques of modern signal processing is particularly important. However, the traditional "Modern Signal Processing" course presents challenges such as abstract content, complex mathematical derivations, and high difficulty in understanding for students. Therefore, this paper aims to explore the teaching reform and practice of the "Modern Signal Processing" course in the intelligent era. By optimizing teaching content, innovating teaching methods, and introducing diversified evaluation mechanisms, the goal is to enhance students' learning interest and practical abilities to meet the needs of the times.

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