本課程旨在提供修課學生離散訊號處理的基本相關知識。本課程將著重在離散訊號處理，內容主要涵蓋訊號與訊號處裡、離散時間訊號與訊號系統、離散時間傅立葉轉換、連續時間訊號之數位處理、z轉換與轉換域之LTI離散時間系統等。本課程亦同時配合Matlab模擬讓學生對本課程有深入的瞭解。經由本課程學生可了解數位訊號處理之基本觀念且對修課學生進行日後之數位處理器實作或是修讀進階之課程將有實質幫助。This course is intended to provide basic relevant knowledge about dissemination number processing for students in the course. This course will focus on the processing of dispersion numbers, and the content mainly covers the information number and signal location, the dispersion time signal and signal system, the dispersion time Fuliye conversion, the digital processing of the continuous time signal, the LTI dispersion time system in the z-transformation and conversion domain, etc. This course also cooperates with Matlab simulation to give students an in-depth understanding of this course. Students in this course can understand the basic concepts of digital signal processing and will provide practical assistance to students who conduct digital processors later or to improve their reading courses.
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] S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, 3rd Ed., McGraw-Hill, 2006. (滄海圖書代理)
參考用書﹕
[1] J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications. 4th Ed., Pearson Prentice Hall, 2007.
[2] A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time Signal Processing, 2nd Ed., Prentice Hall, 1999.
[1] S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, 3rd Ed., McGraw-Hill, 2006. (Yan Hai Book Agent)
Reference book:
[1] J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications. 4th Ed., Pearson Prentice Hall, 2007.
[2] A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time Signal Processing, 2nd Ed., Prentice Hall, 1999.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Action |
20 | |
| 平時考平時考 Regular exam |
20 | |
| 上課出席狀況上課出席狀況 Pre-class attendance status |
10 | |
| 期中考期中考 Midterm exam |
25 | |
| 期末考期末考 Final exam |
25 |
