National Taiwan Normal University Course Outline Fall , 2023 |
@尊重智慧財產權,請同學勿隨意影印教科書 。 Please respect the intellectual property rights, and shall not copy the textbooks arbitrarily. |
I.Course information |
Serial No. | 1250 | Course Level | Undergraduate / Master |
Course Code | MTC9003 | Chinese Course Name | 數位訊號處理 |
Course Name | Digital Signal Processing | ||
Department | Department of Mechatronic Engineering | ||
Two/one semester | 1 | Req. / Sel. | Sel. |
Credits | 3.0 | Lecturing hours | Lecture hours: 3 |
Prerequisite Course | |||
Comment | |||
Course Description | |||
Time / Location | Mon. 7-9 Main CAD/CAM Classroom (TC115-7) | ||
Curriculum Goals | Corresponding to the Departmental Core Goal | ||
1. To guide students to learn the theory of DSP. |
College: 1-1 Capability to apply mathematical, scientific, and mechatronic engineering knowledge. Master: 2-1 Expertise in the field of mechatronic engineering. |
||
2. To gain insight into the DSP analysis, and to give interpretations with written reports. |
College: 1-2 Capability to design and execute mechatronics-related experiments, as well as analyze and interpret data. Master: 2-2 Capability to plan and execute mechatronic research projects. |
||
3. Capability to use modern tools. |
College: 1-3 Equipped with the skills required to perform mechatronic engineering practices and the capability to use modern tools. Master: 2-4 Innovative thinking and capability to solve problems independently. |
||
4. To solve the practical problems of DSP. |
College: 1-3 Equipped with the skills required to perform mechatronic engineering practices and the capability to use modern tools. Master: 2-4 Innovative thinking and capability to solve problems independently. |
II. General Syllabus |
Instructor(s) | CHANG, Gao-Wei/ 張國維 | ||
Schedule | |||
0. Generalized Fourier series (functions as vectors) 1. Brief review to signals and systems 2. Discrete-time signals and systems 3. The z-transform 4. Fourier representation of signals 5. Transform analysis of LTI systems 6. Sampling of continuous-time signals 7. The Discrete Fourier Transform 8. Computation of the Discrete Fourier Transform 9. Structures for discrete-time systems 10. Design of digital filters |
|||
Instructional Approach | |||
Methods | Notes | ||
Formal lecture | DSP concepts and design techniques. (講解各種數位訊號處理觀念與設計技術。) | ||
Problem-based learning | Matlab simulations to solve practical problems. (引導學生利用Matlab語言解決實用問題。) | ||
Media, audio, visual materials | Readme files from the lecturer (運用PPT進行教學。) | ||
Case studies | Final project to gain insight into DSP (引導學生解決數位訊號處理問題與培養撰寫心得報告之能力。) | ||
Grading assessment | |||
Methods | Percentage | Notes | |
Assignments | 40 % | In-class discussion and laboratory (using Matlab simulation) | |
Midterm Exam | 25 % | Written report | |
Final exam | 35 % | Final project (with written report) | |
Required and Recommended Texts/Readings with References | [1] G. W. Chang, Lecture notes on Discrete-time Signal Processing, the class Moodle on NTNU, 2023. [2] D. G. Manolakis and V. K. Ingle, Applied Digital Signal Processing: Theory and Practice, Cambridge Univ., 2011. [3] S. K. Mitra, Digital Signal Processing, third ed., McGraw-Hill, 2006. [4] A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, Prentice Hall, 1999. |