4.3 Error Rate due to Noise, 4.4 Inter symbol Interference, 4.5 Nyquist’s Criterion for Distortionless Baseband Binary Transmission

WeekCourse ContentCourse Video
Ch.1 Random Process
1.1 Introduction
A1.1 Probability Concept
A1.2 Random Variable
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1.1 Introduction
A1.2 Random Variable
1.2 Mathematical Definition of a Random Process
1.3 Stationary Process
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1.3 Stationary Process
A1.3 Statistical Averages
1.4 Mean, Correlation and Covariance Functions
1.5 Ergodic Process
1.6 Transmission of a Random Process Through a Linear Time-Invariant System
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1.6 Transmission of a Random Process Through a Linear Time-Invariant System
A2.1 Fourier Analysis
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1.6 Transmission of a Random Process Through a Linear Time-Invariant System
A2.1 Fourier Analysis
1.7 Power Spectral Density
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1.7 Power Spectral DensityWatch Online
1.7 Power Spectral Density
1.8 Gaussian Process
1.9 Noise
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1.9 Noise
1.10 Narrowband Noise
A2.2 Bandwidth
A2.3 Hilbert Transform
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1.10 Narrowband Noise
A2.4 Complex Representation of Signal and System
1.11 Representation of Narrowband Noise in terms of In-Phase and Quadrature Components
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1.11 Representation of Narrowband Noise in terms of In-Phase and Quadrature Components
1.12 Representation of Narrowband Noise in Terms of Envelope and Phase Components
1.13 Sine Wave Plus Narrowband Noise
1.14 Computer Experiments: Flat-Fading Channel
1.
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2.2 Amplitude Modulation
2.3 Linear Modulation Scheme
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2.3 Linear Modulation Scheme
2.4 Frequency Translation
2.5 Frequency Division on Multiplexing
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2.4 frequency translation
2.5 Frequency Division on Multiplexing
2.6 angle modulation
2.7 frequency modulation
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2.7 frequency modulation
2.8 Nonlinear effects in FM systems
2.9 Superheterodyne Receiver
2.10 Noise in CW Modulation Systems
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2.10 Noise in CW Modulation Systems
2.11 Noise in Linear Receivers Using Coherent Detection
2.12 Noise in AM Receivers Using Envelope Detection
A4 Confluent Hypergeometric Functions
2.13 Noise in FM Receivers
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2.13 Noise in FM ReceiversWatch Online
2.14 Computer Experiments: Phase-Locked Loop
2.15 Summary and Discussion
Ch.3 Pulse Modulation
3.1 Introduction
3.2 sampling process
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3.2 sampling process
3.3 Pulse-Amplitude Modulation
3.4 Other Forms of Pulse Modulation
3.5 Bandwidth-Noise Trade-Off
3.6 Quantization Process
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3.6 Quantization Process
3.7 Pulse-Code Modulation
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3.7 Pulse-Code Modulation
3.8 Noise Consideration in PCM Systems
3.9 Time-Division Multiplexing
3.10 Digital Multiplexers
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3.10 Digital Multiplexers
3.11 Virtues, Limitations, and Modifications of PCM
3.12 Delta Modulation
3.13 Linear Prediction
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3.13 Linear Prediction
3.14 Differential Pulse-Code Modulation
3.15 Adaptive Differential Pulse-Code Modulation
3.16 Computer Experiment: Adaptive Delta Modulation
3.17 MPEG Audio Coding Standard
3.18 Summary and Discussion
Ch4 Baseband Pulse Transmission
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4.3 Error Rate due to Noise
4.4 Inter symbol Interference
4.5 Nyquist’s Criterion for Distortionless Baseband Binary Transmission
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4.4 Inter symbol Interference
4.5 Nyquist’s Criterion for Distortionless Baseband Binary Transmission
4.6 Correlative-Level Coding
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4.6 Correlative-Level Coding
4.7 baseband M-ary PAM Transmission
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4.7 baseband M-ary PAM Transmission
4.8 Digital Subscriber Lines
4.9 optimum linear receiver
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4.9 optimum linear receiver
4.10 Adaptive Equalization
4.11 Computer Experiments: Eye Patterns
4.12 Summary and Discussion
Ch.5 Signal space Analysis
5.1 Introduction
5.2 Geometric Representation of Signals
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5.2 Geometric Representation of Signals
5.3 Conversion of the Continuous AWGN Channel to a Vector Channel
5.4 Likelihood Functions
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5.4 Likelihood Functions
5.5 Coherent Detection of Signals in Noise: Maximum Likelihood Decoding
5.6 Correlation Receiver
5.7 Probability of Error
5.8 Summary and Discussion
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