課程大綱 Syllabus |
學生學習目標 Learning Objectives |
單元學習活動 Learning Activities |
學習成效評量 Evaluation |
備註 Notes |
序 No. | 單元主題 Unit topic |
內容綱要 Content summary |
1 | Introduction |
1. Why Digital ?
2. A Structured Overview of Digital Communication |
1. Why Digital ?
2. A Structured Overview of Digital Communication |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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. |
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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 |
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20 | Communication Link Analysis |
Communication Link Analysis |
Communication Link Analysis |
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