“信号处理”课程中三种信号分析方法的比较

摘要

How to fully reflect the era information in teaching traditional content is one direction of teaching reform of Signal Processing courses. For a typical non-stationary signal, we use Fourier transform, wavelet transform and Hilbert Huang transform （referred to as HHT） to analyze and compare. The results show that the respective characteristic and using limitation of three methods, better reflecting the mutual integration between the classical theory and the latest technology, and achieving a good teaching effectiveness.%“信号处理”课程教学改革的一个方向是在讲授本科生“信号系统”和“数学信号处理”课程的传统内容的过程中能充分体现时代信息。本文通过对一个典型非平稳信号应用傅里叶变换、小波变换和希尔伯特黄变换三种方法进行频谱分析的比较，说明了三种方法各自的特点及使用局限性，体现了经典理论与最新技术引入之间的相互融合，达到了良好的教学效果。