This is an introductory course for digital signal processing (DSP).
(1) This course provides a modern and self-contained introduction to digital signal processing.
(2) Also by introducing useful applications and additional special topics, a broader perspective will be provided to form the background for more advanced courses.
(3) This course plans to cover: (a) Discrete-Time Signals and Systems, (b) Time-Domain Analysis, (c) z-Transform Analysis, (d) Discrete Time Fourier Analysis, (e) Frequency Domain Analysis, (f) Filter Concepts, (g) Digital Processing of Analog Signals, and (h) MATLAB Examples.This is an introduction course for digital signal processing (DSP).
(1) This course provides a modern and self-contained introduction to digital signal processing.
(2) Also by introducing useful applications and additional special topics, a broader perspective will be provided to form the background for more advanced courses.
(3) This course plans to cover: (a) Discrete-Time Signals and Systems, (b) Time-Domain Analysis, (c) z-Transform Analysis, (d) Discrete Time Fourier Analysis, (e) Frequency Domain Analysis, (f) Filter Concepts, (g) Digital Processing of Analog Signals, and (h) MATLAB Examples.
This is an introductory course for digital signal processing (DSP). This course provides a modern and self-contained introduction to digital signal processing. Also by introducing useful applications and additional special topics, a broader perspective will be provided to form the background for more advanced courses. This course plans to cover: Discrete-Time Signals and Systems, Time-Domain Analysis, z-Transform Analysis, Frequency Domain Analysis, Filter Concepts, Digital Processing of Analog Signals, and MATLAB Examples.
This is an introduction course for digital signal processing (DSP). This course provides a modern and self-contained introduction to digital signal processing. Also by introducing useful applications and additional special topics, a broader perspective will be provided to form the background for more advanced courses. This course plans to cover: Discrete-Time Signals and Systems, Time-Domain Analysis, z-Transform Analysis, Frequency Domain Analysis, Filter Concepts, Digital Processing of Analog Signals, and MATLAB Examples.
1.Discrete-time signal processing, 3rd edition
作者: Alan V. Oppenheim, Ronald W. Schafer
Prentice Hall, 2010
全華圖書代理
離散時間訊號處理 (Discrete-Time Signal Processing, 3/e)
陳常侃、王鵬華、丁建均 譯
出版商: 培生, 2011
2. 數位訊號處理 第二版
作者：McClellan, Schafer, Yoder
年份：2012年
翻譯：吳燦明
出版社：開發
3. Essentials of Digital Signal Processing: Using MATLAB 3/e
Authors: Vinay K. Ingle; John G. Proakis
年份： 2016年
滄海圖書代理
4. Digital Signal Processing: A Modern Introduction
作者：Ambardar, 2007
滄海圖書代理
5. 數位訊號處理－Python 程式實作（第二版）
作者：張元翔, 2019
全華圖書出版
1.Discrete-time signal processing, 3rd edition
Author: Alan V. Oppenheim, Ronald W. Schafer
Prentice Hall, 2010
Full-Hua Book Agent
Discrete-Time Signal Processing (Discrete-Time Signal Processing, 3/e)
Chen Changkan, Wang Linghua, Ding Jianjun Translation
Publisher: Pearson, 2011
2. Digital signal processing Second Edition
Author: McClellan, Schafer, Yoder
Year: 2012
Translation: Wu Fengming
Publisher: Development
3. Essentials of Digital Signal Processing: Using MATLAB 3/e
Authors: Vinay K. Ingle; John G. Proakis
Year: 2016
Heihai Book Agent
4. Digital Signal Processing: A Modern Introduction
Author: Ambardar, 2007
Heihai Book Agent
5. Digital signal processing - Python Programming (Second Edition)
Author: Zhang Yuanxiang, 2019
Full Chinese book publishing
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平常成績平常成績 Normal achievements |
20 | |
| 小考小考 Small exam |
30 | |
| 期中考期中考 Midterm exam |
25 | |
| 期末考期末考 Final exam |
25 |
