本課程之宗旨乃為離散時間訊號處理提供足夠嚴謹的數學基礎, 並透過電腦作業設計，培養學生的直覺。 This course aims to provide sufficiently rigorous mathematical foundation for discrete-time signal processing. Computer-ba
核心能力
Core Competencies
| ♠ | 豐富的學、物理、科學與工程知識，以及實際運用的能力 | 80 % |
| An ability to learn profound knowledge in mathematics, physics, and science, as well as to apply the knowledge to engineering problems | ||
| ♠ | 執行電機工程實務所需理論、方法、技術及使用相關軟硬體工具之能力 | 10 % |
| An ability to use the theories, methods, techniques, and related necessary software/hardware tools for electrical engineering practice. | ||
| ♠ | 專業的外語能力及與國際社群互動的能力 | 6 % |
| An ability to communicate professionally in a foreign language, as well as to interact with international communities | ||
| ♠ | 掌握科技趨勢，並了解科技對人類、環境、社會及全球的影響 | 2 % |
| An awareness of the technology trends and their uman/environmental/social/global impacts | ||
| ♠ | 發掘問題、分析問題及處理問題的能力 | 1 % |
| An ability to identify, analyze, and solve problems. | ||
| ♠ | 理解專業倫理及社會責任 | 1 % |
| An understanding of professional ethics and social responsibilities. |
課程說明
Course Description
| ♠ | This course introduces discrete-time signal processing with an emphasis on rigor. |
| Topics including sampling and aliasing, discrete-time Fourier transform, z- Transform, FIR/IIR filter design, filter structures, and discrete and short-time Fourier transform. | |
| ♠ | Pre-requisite: Calculus, Linear Algebra, Probability (to a certain extent), |
| Signals and Systems (or equivalent, upon lecturer's consent). | |
指定用書
Text Books
| ♠ | Discrete-Time Signal Processing, A. V. Oppenheim, |
| and R. W. Schafer, 3rd Ed., Pearson, 2009 |
教學方式
Teaching methods
| ♠ | This course will be taught **in English** by the lecturer using combination of |
| slides and the blackboard. There will also be homework discussion sessions where students will be given bonus points if they volunteer to demonstrate their solution to the problem. |
教學進度
Syllabus
| ♠ | Lectures will cover sampling and signal reconstruction, analysis of LTI systems, |
| FIR and IIR filter design, discrete Fourier transforms, short-time Fourier transform (above are covered in textbook Chapter 4-10). |
成績考核
Evaluation
| ♠ | Midterm I | 20 % |
| ♠ | Midterm II | 20 % |
| ♠ | Final | 30 % |
| ♠ | Homework | 24 % |
| ♠ | participation | 6 % |
| ♠ | Exams will be close-book while allowing an A4 double-sided cheat-sheet | |
| ♠ | Rules regarding the usage of generative AI tools: | |
| Students are allowed to used generative AI for all the homework. |
