从奈奎斯特采样到压缩感知拓展教学方法  

From Nyquist Sampling to Compressed Perception to Expand Teaching Methods

作　　者：盛志超 方勇[1] 徐强荣 余鸿文 黄知雨 SHENG Zhichao;FANG Yong;XU Qiangrong;YU Hongwen;HUANG Zhiyu(School of Communication and Information Engineering,Shanghai University,Shanghai 200444,China)

机构地区：[1]上海大学通信与信息工程学院,上海200444

出　　处：《电气电子教学学报》2024年第1期164-169,共6页Journal of Electrical and Electronic Education

基　　金：国家自然科学基金项目(61901254)。

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,压缩感知被引入作为传统奈奎斯特采样定理教学的补充和拓展,取得良好的教学效果。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 andprovide an access to the cutting-edge achievements to students,compressed sensing is introduced as a supplement and expansion of traditional teaching for the Nyquist sampling theorem,and good teaching effect is achieved.

关 键 词：拓展教学 奈奎斯特采样定理 压缩感知理论 

分 类 号：G642[文化科学—高等教育学]