通訊原理(一)
Principle of Communication Engineering (I): Analog and Digital Systems
| 節 | 週一 | 週四 |
|---|---|---|
2 09:00–09:50 | 通訊原理(一) ED220 | |
7 15:30–16:20 | 通訊原理(一) ED220 2 節連堂 | |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
This course introduces the fundamental concepts and basic practices of analog and digital communications; while a sequential course (PC II) mainly covers the more advanced topics in digital communications. After a brief introduction to the general communication systems (1), we review the important concepts on the description and analysis of signals and systems (2-3). The basic analog modulation methods and receiver designs are introduced in (4-6). The emphasis is placed on the treatment of the analog communications as the necessary background for understanding the digital communications. Examples are provided to illustrate the extensions of analog transmission to digital transmission and the differences between the digital and the analog systems. The evolution from analog systems to digital systems is developed gradually by introducing various pulse modulation techniques (7-8). In (9-10), the baseband digital communication system is described. Then, the discussions of noise in a rigorous way become the next major topic. The necessary mathematical tools, probability and random processes, are then studied in (11-14). (Actually, the signals, in addition to the noises, are modeled by random processes.) These tools are employed to study the noise effect on the performance of analog signal transmission (15-16), and they are also essential in understanding the many issues in the digital communications (17). In the last lecture, more will be said on the comparison and differences between the analog and the digital transmission systems. Computer simulations help learners in understanding the operations of communication systems. It is important for the students to master a few programming tools (Matlab or C language) in this course. Computer simulations will be counted as a sizable portion in the homework assignments. 本課程為瞭解通訊系統的入門課,之後銜接通訊原理(二),兩門課完整涵蓋通訊基礎理論。 以下對通訊系統的課程內容做一簡介。於序論(1)之後,我們將複習關於訊號與系統之描述與分析的重要觀念(2-3)。接著介紹常用的類比調變方法,並討論如何接收這些信號(4-6),我們將會強調類比通訊的觀念和作法、是未來瞭解數位通訊的必要基礎,在例子的選擇上,也會著重對數位通訊延伸和比較。藉由介紹脈衝調變(7-8),我們逐步介紹從類比系統到數位系統的演進發展。接著介紹在無雜訊情況下的數位基頻通訊(9-10),經由與類比通訊的比較,凸顯兩種方式的深刻區別但亦同時具有密切關係。雜訊干擾是通訊過程中重要的現象,我們必須了解其特性與描述方法。這些數學工具在隨機過程(11-14)主題之下討論之。(事實上,許多時候不但是雜訊,連訊號也適合用隨機過程來描述。) 我們使用這些工具探討雜訊對類比信號傳輸品質的影響(15-16),並進一步理解數位基頻通訊系統的相關議題(17)。最後總結,在更廣的系統架構下比較數位/類比系統的異同(15),建立更完整的通訊系統觀念。 本課程除了基礎理論的練習,也強調以電腦模擬來瞭解通訊系統的運作過程。因此對Matlab或C語言的熟練很重要,電腦模擬佔的比重也很可觀,請同學注意。
Signals and Systems, Probability, Linear Algebra 訊號與系統、機率、線性代數
We will use the e-campus platform to conduct admin. stuff.
3 Quizzes (30%), Midterm (35%), Final examine (35%) [No Homework] 2次小考(30%); 期中考(35%); 期末考(35%) [不交作業]
| 週次 | 主題 |
|---|---|
| 第 1 週 | 1.& #9 Introduction: communication systems, channel effects, system analyisi, probability, linear algebra序論: 通訊系統、通道影響、系統分析、機率、線代 |
| 第 2 週 | 2.& #9 Signals and systems I: signal classification, Fourier analysis, power spectrum density訊號與系統(I):訊號分類、傅立葉轉換、功率頻譜 |
| 第 3 週 | 3.& #9 Signals and systems II: LTI systems, sampling, frequency shift, Hilbert transform訊號與系統(II):線性非時變系統、取樣、移頻、Hilbert 轉換 |
| 第 4 週 | 4.& #9 Analog modulation I: linear modulation (DSB, AM)類比調變(I):線性調變(DSB、AM) |
| 第 5 週 | 5.& #9 Analog modulation II: FM, PM類比調變(II):調變(FM、PM) |
| 第 6 週 | 6.& #9 Analog modulation III: PLL類比調變(III):PLL |
| 第 7 週 | 7.& #9 Pulse modulation I: samplnig, PAM, quantization脈衝調變(I):取樣、脈衝振幅調變(PAM)、量化 |
| 第 8 週 | 8.& #9 Pulse modulation II: OCM, delta modulation, multiplexing脈衝調變(II):脈衝編碼調變(PCM)、delta modulation、多工 |
| 第 9 週 | 9.& #9 Digital baseband communication I: digitl baseband transmission, line codes, filtering effects, Nyquist criterion數位基頻通訊(I):數位基頻傳輸、線碼(line codes)、濾波效應、Nyquist criterion |
| 第 10 週 | 10.& #9 Digital baseband communication II: equalization, eye diagrams, synchronization, carrier modulation數位基頻通訊(II):等化、眼圖、同步、載波調變 |
| 第 11 週 | 11.& #9 Probability: probability, random variables機率(I):機率、隨機變數、統計平均、ergodicity、常用的pdf |
| 第 12 週 | 12.& #9 Stochastic processes I: introduction, correlation function, PSD隨機過程(I):隨機過程、穩定過程、相關函數及功率頻譜 |
| 第 13 週 | 13.& #9 Stochastic processes II: LTI systems, Gauss processes, white noise, narrowband noise線性非時變系統、高斯過程、白雜訊、窄頻雜訊 |
| 第 14 週 | 14.& #9 Noise in communication systems I: linear modulation雜訊對類比通訊系統的影響(I):線性調變、角度調變 |
| 第 15 週 | 15.& #9 Noise in digital baseband communication: Noise effects, optimal receiver, performance evaluation, vector spaces, signal analysis and synthesis數位基頻通訊系統與雜訊:雜訊影響、最佳接收機、效能評估、向量空間、訊號之分析與合成 |
| 第 16 週 | 16.& #9 Comparison between analog and digital communication: source coding, modulation, channel and noise, BER, information theory數位與類比通訊異同:訊源編碼、調變、通道及雜訊、BER、消息理論 |
Text Book: R. E. Ziemer and W. H. Tranter, “Principles of Communications, 7th ed.,” Wiley, 2015. Reference Book: 1. S. Haykin and M. Moher, “Communication Systems, 5th ed.,” Wiley, 2010.
- 地點
- ED 401
- 時間
- TBA
- 聯絡方式
- 桑梓賢 副教授 Tzu-Hsien Sang, Associate Professor tzuhsien54120@faculty.nctu.edu.tw Tel: 54120