信号处理课程中的数据可视化

设计并实现了基于MATLAB的信号处理课程可视化应用平台。该平台包括信号的生成和基本运算、信号的卷积、滤波器、频域分析和复频域分析五大类，所选的教学案例中涵盖了傅里叶级数、吉伯斯现象、采样定理等经典理论知识点，同时为用户提供了修改参数和动画演示的功能。该平台使用简单，即可作为教师授课时演示使用，也可作为线上线下混合教学中的教学资源之一，提供给学生自学或复习使用，以加深对信号处理过程的理解。

Data Visualization in Courses of Signal Processing

A visualization application platform of signal processing courses is designed and developed based on MATLAB. The application platform includes five blocks, signal generation and fundamental computations, signal convolution, filter, frequency domain analysis and complex frequency domain analysis. The selected teaching cases deals with Fourier series, Gibbs phenomenon, sampling theorem and other classical theoretical knowledge points. The application platform also provides the function of modifying parameters and animation demonstration. The visualization platform is simple to use. It can not only be used during lesson hours to demonstrate the processing by teachers but also used by students for self-study or review after class. The developed application platform is considered as a part of teaching materials for blending teaching model and makes it easier for students to understand the signal processing process.