Digital Signal Processing Using Matlab

Table of contents

1. Cover Page
2. Title Page
3. Copyright
4. Table of Contents
5. Preface: Why and How this Book was Written
6. Chapter 1: Introduction
   1. 1.1. Brief introduction to MATLAB
   2. 1.2. Solved exercises
7. Chapter 2: Discrete-Time Signals
   1. 2.1. Theoretical background
   2. 2.2. Solved exercises
   3. 2.3. Exercises
8. Chapter 3: Discrete-Time Random Signals
   1. 3.1. Theoretical background
   2. 3.2. Solved exercises
   3. 3.3. Exercises
9. Chapter 4: Statistical Tests and High Order Moments
   1. 4.1. Theoretical background
   2. 4.2. Solved exercises
   3. 4.3. Exercises
10. Chapter 5: Discrete Fourier Transform of Discrete-Time Signals
    1. 5.1. Theoretical background
    2. 5.2. Solved exercises
    3. 5.3. Exercises
11. Chapter 6: Linear and Invariant Discrete-Time Systems
    1. 6.1. Theoretical background
    2. 6.2. Solved exercises
    3. 6.3. Exercises
12. Chapter 7: Infinite Impulse Response Filters
    1. 7.1. Theoretical background
    2. 7.2. Solved exercises
    3. 7.3. Exercises
13. Chapter 8: Finite Impulse Response Filters
    1. 8.1. Theoretical background
    2. 8.2. Solved exercises
    3. 8.3. Exercises
14. Chapter 9: Detection and Estimation
    1. 9.1. Theoretical background
    2. 9.2. Solved exercises
    3. 9.3 Exercises
15. Chapter 10: Power Spectral Density Estimation
    1. 10.1. Theoretical background
    2. 10.2. Solved exercises
    3. 10.3. Exercises
16. Chapter 11: Time-Frequency Analysis
    1. 11.1. Theoretical background
    2. 11.2. Solved exercises
    3. 11.3. Exercises
17. Chapter 12: Parametrical Time-Frequency Methods
    1. 12.1. Theoretical background
    2. 12.2. Solved exercises
    3. 12.3. Exercises
18. Chapter 13: Supervised Statistical Classification
    1. 13.1. Theoretical background
    2. 13.2. Solved exercises
    3. 13.3. Exercises
19. Chapter 14: Data Compression
    1. 14.1. Theoretical background
    2. 14.2. Solved exercises
    3. 14.3. Exercises
20. References
21. Index