The area of digital signal processing has consistently derived its vitality from the interplay between theory and applications. Correspondingly, university courses in digital signal processing have been increasingly incorporating computer exercises and laboratories to help students better understand the principles of signal processing and experience the excitement of applying abstract mathematical concepts to processing of real signals.
1. Basic Signals and Systems
2. Discrete Fourier Transform
3. Spectrum Analysis
4. Multirate Processing
5. Systems and Structures
6. Stochastic Signals
7. Wordlength Effects
8. Discrete-Time Filter Design
9. DFT and FFT Algorithms
10. Applications
etc.