从“信号与系统”到“数字信号处理”，采样定理都是重要的教学内容。但是在工程应用中，产生大量数据造成存储空间的极大浪费，而压缩感知突破奈奎斯特采样定理的限制，能够实现远低于奈奎斯特频率的采样。为适应新工科背景下的教学改革，让学生接触前沿研究成果，我们引入压缩感知作为传统教学的补充和拓展，取得良好的教学效果。本文对从奈奎斯特采样到压缩感知拓展教学方法进行介绍。
英文摘要
:
From "signal and system" to "digital signal processing", sampling theorem is an important content of teaching. However, in engineering applications, a large amount of data will cause the waste of storage space. Compressed sensing breaks through the limitations of Nyquist sampling theorem and can achieve sampling at a lower sampling frequency. In order to adapt to the teaching reform under the background of new engineering and provide an access to the cutting-edge achievements to students, we introduce compressed sensing as a supplement and expansion of traditional teaching, and achieve good teaching effect. This paper introduces the extended teaching methods from Nyquist sampling theorem to compressed sensing theory.
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