Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2017 232947 Digital Signal Processing 1 3.0 3 ★ SHINGCHERN YOU GCSIE
IMEECS 11 1 資工四、資工所、電資外生班合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2017	232947	Digital Signal Processing	1	3.0	3	★	SHINGCHERN YOU	GCSIE IMEECS	11	1	資工四、資工所、電資外生班合開

Course Plan：

Instructor SHINGCHERN YOU

Email scyou@ntut.edu.tw

Last Updated 2017-09-11 14:45:01

Course Objective 1. Discrete representations of signals and systems 2. Difference equations and solutions 3. Convolutions and stability 4. DFT and FFT 5. Z transform and transfer functions 6. Filter design

Course Schedule Week 1: Holiiday Week 2,3: Introduction to digital signal processing Review of linear systems Overview of linear systems Solutions to linear difference equations Impulse response Convolution derived from linearity Stability issues Week 4,5: Discrete-time Fourier transform Fourier transform vs. Discrete-time Fourier transform Properties of DTFT Examples & applications of DTFT Week 6,7: Sampling and reconstruction Concept of sampling and aliasing Concept of reconstruction (Sampling theorem) A/D, D/A, and analog filters Quantization noise Design issues Week 8,10,11: Discrete Fourier transform DFT concept DFT properties Circular convolution Overlap-add (OVLA) algorithm FFT algorithms Linear convolution via FFT and OVLA Week 9: MT & sol Week 12: Spectral analysis Effects of various types of windows (main-lobe/side-lobe) Uncertainty principle Week 13,14: Z-transform Properties Solving difference equations via Z-transform Transfer function and stability issues Week 15,16: Introduction to Digital filters Design of FIR filters via window method Concept of linear phase Design of IIR filters via bilinear transform Programming issues Week 17 Advanced topics Week 18 Final exam

Evaluation and grading policy MT 35 % Final 35 % Homework 30% (Optional) Project 10 %

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Lecture notes available. We’ll assign a textbook. But the textbook is for your reference only. You may choose not to purchase the textbook as long as you have a good reference book. Suggested textbook: Sanjit Mitra, Digital Signal Processing, A Computer-Based Approach

The access to curricular consultation

Note
　

Instructor	SHINGCHERN YOU
Email	scyou@ntut.edu.tw
Last Updated	2017-09-11 14:45:01
Course Objective	1. Discrete representations of signals and systems 2. Difference equations and solutions 3. Convolutions and stability 4. DFT and FFT 5. Z transform and transfer functions 6. Filter design
Course Schedule	Week 1: Holiiday Week 2,3: Introduction to digital signal processing Review of linear systems Overview of linear systems Solutions to linear difference equations Impulse response Convolution derived from linearity Stability issues Week 4,5: Discrete-time Fourier transform Fourier transform vs. Discrete-time Fourier transform Properties of DTFT Examples & applications of DTFT Week 6,7: Sampling and reconstruction Concept of sampling and aliasing Concept of reconstruction (Sampling theorem) A/D, D/A, and analog filters Quantization noise Design issues Week 8,10,11: Discrete Fourier transform DFT concept DFT properties Circular convolution Overlap-add (OVLA) algorithm FFT algorithms Linear convolution via FFT and OVLA Week 9: MT & sol Week 12: Spectral analysis Effects of various types of windows (main-lobe/side-lobe) Uncertainty principle Week 13,14: Z-transform Properties Solving difference equations via Z-transform Transfer function and stability issues Week 15,16: Introduction to Digital filters Design of FIR filters via window method Concept of linear phase Design of IIR filters via bilinear transform Programming issues Week 17 Advanced topics Week 18 Final exam
Evaluation and grading policy	MT 35 % Final 35 % Homework 30% (Optional) Project 10 %
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Lecture notes available. We’ll assign a textbook. But the textbook is for your reference only. You may choose not to purchase the textbook as long as you have a good reference book. Suggested textbook: Sanjit Mitra, Digital Signal Processing, A Computer-Based Approach
The access to curricular consultation
Note