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1. Foundational Concepts of Information
2. Entropy and Information Measures
3. Source Coding and Lossless Compression
4. Channel Capacity and Noisy Communication
5. Error Control Coding
6. Rate-Distortion Theory
7. Information Theory in Continuous Settings
8. Network Information Theory
9. Advanced Topics and Applications
  1. Computer Science
  2. Computer Science Fundamentals

Information Theory

1. Foundational Concepts of Information
2. Entropy and Information Measures
3. Source Coding and Lossless Compression
4. Channel Capacity and Noisy Communication
5. Error Control Coding
6. Rate-Distortion Theory
7. Information Theory in Continuous Settings
8. Network Information Theory
9. Advanced Topics and Applications
  1. Information Theory in Continuous Settings
    1. Differential Entropy
      1. Definition for Continuous Variables
        1. Relationship to Discrete Entropy
          1. Dependence on Coordinate System
            1. Negative Values
            2. Properties and Limitations
              1. Translation Invariance
                1. Scaling Properties
                  1. Maximum Differential Entropy
                  2. Differential Entropy of Common Distributions
                    1. Uniform Distribution
                      1. Gaussian Distribution
                        1. Exponential Distribution
                          1. Laplacian Distribution
                        2. Continuous Mutual Information
                          1. Definition and Properties
                            1. Invariance Under Invertible Transformations
                              1. Data Processing Inequality
                                1. Chain Rule
                                2. Estimation from Data
                                  1. Histogram Methods
                                    1. Kernel Density Estimation
                                      1. k-Nearest Neighbor Methods
                                    2. Gaussian Channels and Capacity
                                      1. AWGN Channel Model
                                        1. Signal and Noise Characteristics
                                          1. Power Constraints
                                            1. Bandwidth Constraints
                                            2. Capacity Calculations
                                              1. Single-Input Single-Output Channels
                                                1. Multiple-Input Multiple-Output Channels
                                                  1. Parallel Gaussian Channels
                                                  2. Optimal Input Distributions
                                                    1. Gaussian Inputs for AWGN
                                                      1. Water-Filling Solutions
                                                        1. Capacity-Achieving Strategies

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                                                    6. Rate-Distortion Theory

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                                                    8. Network Information Theory

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