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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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 OnlineMP4 Download
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 OnlineMP4 Download
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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