Content

Lecture  1 : Basic Concepts of Digital Signal Processing

Lecture  2 : A/D & D/A Conversion

Lecture  3 : Difference Equation

Lecture  4 : Convolution

Lecture  5 : Z Transform 1 (Z Transform Basics)

Lecture  6 : Z Transform 2 (Convergence & Stability)

Lecture  7 : Z Transform 3 (Inverse Z Transform)

Lecture  8 : Fourier Transform 1 (Spectrum)

Lecture  9 : Fourier Transform 2 (Frequency Response)

Lecture 10 : Finite Impulse Response Filter

Lecture 11 : Windowed FIR Filter Design

Lecture 12: Frequency Response Sampling FIR Design

Lecture 13: Infinite Impulse Filter Design

Lecture 14: Routines of IIR Filter Design

Lecture 15: Discrete Fourier Transform Basics

Lecture 16: Relatives & Properties of DFT

Lecture 17: Fast Fourier Transform

Lecture 18: Errors in DSP

Lecture 19: Stochastic Process

Lecture 20: Power Spectrum Estimation

Lecture 21: Audio Signal Processing

Lecture 22: Image Signal Processing

Lecture 23: Array  Signal Processing

Discussion

Go Over

MatLab Programming

Power Spectrum Estimation	FFT Realization	DFT Properties	Filter Design2	Filter Design1	H(z) & H(ω)	Convolution	Nyquist Theorem
Week 15	Week 13	Week 11	Week 9	Week 7	Week 5	Week 3	Week 1

Place:   知行南楼405

Time:    Odd Week Monday 10:00-12:00

             (+1st Week Friday 10:00- 12:00)

Grade:

40%  Assignment (Homework, Matlab, Report, Roll Call);       

60%  Exams (20%Mid Term + 40%Final)

References

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