This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.
Chapter 1. Introduction. Chapter 2. 1-D and 2-D discrete-time signals. Chapter 3. Discrete-time random processes. Chapter 4. Statistics for signal processing. Chapter 5. Convolution of 1-D and 2-D signals. Chapter 6. Discrete Fourier transform of 1-D and 2-D discrete signals. Chapter 7. Linear and invariant disctrete-time systems. Chapter 8. Infinite impulse response filters. Chapter 9. Finite impulse response filters. Chapter 10. Digital modulations. Chapter 11. Statistical signal processing: estimation. Chapter 12. Power spectrum density estimation. Chapter 13. Time-frequency spectral estimation. Chapter 14. Model-based time-frequency spectral estimation. Chapter 15. Statistical signal processing: classification. Chapter 16. Data compression. Chapter 17. Programming digital signal processors with MATLAB. List of Authors. Index.
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