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| 从奈奎斯特采样到压缩感知拓展教学方法 |
| From Nyquist Sampling Theorem to Compressed Perception Theory to Expand Teaching Methods |
| 投稿时间：2022-03-08 修订日期：2024-03-03 |
| DOI： |
| 中文关键词: 拓展教学 奈奎斯特采样定理 压缩感知理论 |
| 英文关键词: Extended teaching, Nyquist sampling theorem, compressed sensing theory |
| 基金项目:国家自然科学基金项目（（61901254） |
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| 中文摘要: |
| 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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