Teaching Design on Discrete Fourier Transform Properties Visualization
Discrete Fourier transform(DFT)is one of the important parts of the Digital Signal Processing course.However,the derivation of its definition and main properties involves a large number of abstract mathematical formulas,which makes it hard for students to understand intuitively and deeply;moreover,the course does not emphasize enough on practical applications of its the-oretical concepts,principles,and so on,making it difficult to evoke students'interest.To solve this problem,in this paper,we propose to use digital image spectral analysis to assist the learning of DFT properties,including linearity,circular shift,symme-try,duality and so on,in a more visual way.The teaching experiment results show that the new teaching method can effectively improve students'learning and understanding,and increase their interest in the course,achieving a good teaching effect.
万方数据
维普
