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課程名稱 (中文) 數位通訊系統
(英文) Digital Communication Systems
開課單位 電機工程研究所
課程代碼 E5700
授課教師 劉皆成
學分數 3.0 必/選修 選修 開課年級 研究所
先修科目或先備能力:通訊原理 (E4700)
課程概述與目標:The course is intended to provide a comprehensive coverage of digital communication systems for senior undergraduates and first year graduate students.
教科書 Bernard Sklar, Digital Communications - Fundamentals and Applications,
Prentice-Hall, 2nd Ed. 2001.
參考教材 R. E Ziemer and R. L. Peterson, Introduction to Digital Communication, Prentice-Hall, 2nd Ed. 2001.
課程大綱 學生學習目標 單元學習活動 學習成效評量 備註
單元主題 內容綱要
1 Introduction 1. Why Digital ?
2. A Structured Overview of Digital Communication
1. Why Digital ?
2. A Structured Overview of Digital Communication
 
2 Formatting 1. Pulse Code Modulation (PCM)
2. Waveform Representation of Binary Digits
3. PCM Waveform Types
4. M-ary Pulse-Modulation Waveforms
1. Pulse Code Modulation (PCM)
2. Waveform Representation of Binary Digits
3. PCM Waveform Types
4. M-ary Pulse-Modulation Waveforms
 
3 Detection of Binary Signals in Gaussian Noise 1. Detection of Binary Signals in Gaussian Noise
2. Maximum Likelihood Receiver Structure
3. Error Probability and Error Function
1. Detection of Binary Signals in Gaussian Noise
2. Maximum Likelihood Receiver Structure
3. Error Probability and Error Function
 
4 Detection of Binary Signals in Gaussian Noise 1. Detection of Binary Signals in Gaussian Noise
2. Maximum Likelihood Receiver Structure
3. Error Probability and Error Function
1. Detection of Binary Signals in Gaussian Noise
2. Maximum Likelihood Receiver Structure
3. Error Probability and Error Function
 
5 The Matched Filter 1. The Matched Filter
2. Binary Data Transmission in White Gaussian Noise
3. Integrate-and-dump receiver
4. Correlator implementation of the Matched-Filter Receiver
1. The Matched Filter
2. Binary Data Transmission in White Gaussian Noise
3. Integrate-and-dump receiver
4. Correlator implementation of the Matched-Filter Receiver
  • 平時考
  •  
    6 The Matched Filter 1. The Matched Filter
    2. Binary Data Transmission in White Gaussian Noise
    3. Integrate-and-dump receiver
    4. Correlator implementation of the Matched-Filter Receiver
    1. The Matched Filter
    2. Binary Data Transmission in White Gaussian Noise
    3. Integrate-and-dump receiver
    4. Correlator implementation of the Matched-Filter Receiver
     
    7 ISI and Nyquist Filter 1. Intersymbol Interference (ISI)
    2. Pulse Shaping To Reduce Intersymbol Interference
    3. Partial Response Signaling for Interference Control
    4. Equalization Method to Control Intersymbol Interference
    1. Intersymbol Interference (ISI)
    2. Pulse Shaping To Reduce Intersymbol Interference
    3. Partial Response Signaling for Interference Control
    4. Equalization Method to Control Intersymbol Interference
  • 平時考
  •  
    8 ISI and Nyquist Filter 1. Intersymbol Interference (ISI)
    2. Pulse Shaping To Reduce Intersymbol Interference
    3. Partial Response Signaling for Interference Control
    4. Equalization Method to Control Intersymbol Interference
    1. Intersymbol Interference (ISI)
    2. Pulse Shaping To Reduce Intersymbol Interference
    3. Partial Response Signaling for Interference Control
    4. Equalization Method to Control Intersymbol Interference
  • 期中考
  •  
    9 Signal Space 1. Vector-Space Representation of Signal and Noise
    2. Correlation Receiver
    1. Vector-Space Representation of Signal and Noise
    2. Correlation Receiver
     
    10 Digital Modulation 1. Basic Digital Modulation Schemes (ASK, FSK, PSK)
    2. Coherent Detection and Noncoherent Detection
    3. Quadrature Implementation of a Modulator
    1. Basic Digital Modulation Schemes (ASK, FSK, PSK)
    2. Coherent Detection and Noncoherent Detection
    3. Quadrature Implementation of a Modulator
     
    11 Digital Modulation 1. Basic Digital Modulation Schemes (ASK, FSK, PSK)
    2. Coherent Detection and Noncoherent Detection
    3. Quadrature Implementation of a Modulator
    1. Basic Digital Modulation Schemes (ASK, FSK, PSK)
    2. Coherent Detection and Noncoherent Detection
    3. Quadrature Implementation of a Modulator
     
    12 Quadrature Signals 1. Quadrature signals - Complex, but not Complicated
    2. Quadrature Mixing or Complex Mixing
    1. Quadrature signals - Complex, but not Complicated
    2. Quadrature Mixing or Complex Mixing
  • 平時考
  •  
    13 Quadrature Signals 1. Quadrature signals - Complex, but not Complicated
    2. Quadrature Mixing or Complex Mixing
    1. Quadrature signals - Complex, but not Complicated
    2. Quadrature Mixing or Complex Mixing
     
    14 Modulation and Coding Trade-Offs 1. Goals of The Communications System Designer
    2. Error Probability, Bandwidth, and SNR
    3. Shannon-Hartley Capacity Theorem
    4. Equivocation and Effective Transmission Rate
    1. Goals of The Communications System Designer
    2. Error Probability, Bandwidth, and SNR
    3. Shannon-Hartley Capacity Theorem
    4. Equivocation and Effective Transmission Rate
     
    15 Modulation and Coding Trade-Offs 1. Goals of The Communications System Designer
    2. Error Probability, Bandwidth, and SNR
    3. Shannon-Hartley Capacity Theorem
    4. Equivocation and Effective Transmission Rate
    1. Goals of The Communications System Designer
    2. Error Probability, Bandwidth, and SNR
    3. Shannon-Hartley Capacity Theorem
    4. Equivocation and Effective Transmission Rate
     
    16 Spread-Spectrum Systems 1. PN-Sequence Generator
    2. Direct-Sequence Spread-Spectrum (DS-SS) systems
    3. Frequency Hopping Spread-Spectrum (HFSS) systems
    1. PN-Sequence Generator
    2. Direct-Sequence Spread-Spectrum (DS-SS) systems
    3. Frequency Hopping Spread-Spectrum (HFSS) systems
     
    17 Spread-Spectrum Systems 1. PN-Sequence Generator
    2. Direct-Sequence Spread-Spectrum (DS-SS) systems
    3. Frequency Hopping Spread-Spectrum (HFSS) systems
    1. PN-Sequence Generator
    2. Direct-Sequence Spread-Spectrum (DS-SS) systems
    3. Frequency Hopping Spread-Spectrum (HFSS) systems
     
    18 Multiplexing and Multiple Access 1. Frequency division (FD) 2.Time division (TD)
    3. Code division (CD) 4. Space division (FD) or multiple beam frequency reuse.
    5. Polarization division (PD) or dual polarization frequency reuse.
    1. Frequency division (FD) 2.Time division (TD)
    3. Code division (CD) 4. Space division (FD) or multiple beam frequency reuse.
    5. Polarization division (PD) or dual polarization frequency reuse.
  • 平時考
  •  
    19 An Brief Introduction to Coding 1. Source Encoding and Channel Encoding
    2. Block code and Convolutional code
    1. Source Encoding and Channel Encoding
    2. Block code and Convolutional code
  • 期末考
  •  
    20 Communication Link Analysis Communication Link Analysis Communication Link Analysis  

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