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.
