數位訊號處理

The course aims to provide the fundamentals of discrete time signal processing.

Signals and Systems, Introduction to Digital Signal Processing

This is a flip classroom. The students study before they come to the class. In the class, a in-class homework is given and the students work on the problems in groups. Then the students present their own homework solution to the entire class. content: 1. Review – examples of D.-T. signals, and basic D.-T. signals – system properties: causality, stability – LTI systems, impulse response, convolution, difference equations – DTFT and examples of basic signals 2. Z-transform: – definition, and relations to signal convolution, system properties, e.g., casuality and stability, and D.-T. Fourier transform – inverse Z-transform – properties 3. sampling – F.T. of continuous time signals and discrete time sequences – sampling theorem, aliasing and reconstruction – discrete time processing of continuous time signals 4. Fourier analysis of LTI systems: rational systems, magnitude and phase, minimum phase, allpass, and linear phase 5. implementation – rational system and difference equation – block diagram – structures 6. multirate system: building blocks, polyphases, & fractional sampling rate conversion 7. filter design 8. DFT 9. FFT 10. * Fourier analysis of signals and short-time Fourier transform

quizzes (2x15%), midterm (35%), final (35%)

Discrete-Time Signal Processing} (3rd ed.), A. V. Oppenheim and R. W. Schafer, Prentice Hall, 2009.

地點

E5 765

時間

To be determined

聯絡方式

ext 31632