Conveying to students a sense of excitement regardingDSP, this text provides thorough coverage of digitalsignal processing techniques and all essentialtheory—extensively supported by examples, but notdependent on calculus. It includes a variety ofinteresting and in-depth DSP explorations to helpestablish the link between theory and practice, and anintroduction to hardware and software for digitalsignal processors. 1. Crash Course in Digital Signal Processing. 2. Analog-to-Digital and Digital-to-Analog Conversion. 3. Digital Signals. 4. Difference Equations and Filtering. 5. Convolution and Filtering. 6. z Transforms. 7. Fourier Transforms and Filter Shape. 8. Digital Signal Spectra. 9. Finite Impulse Response Filters. 10. Infinite Impulse Response Filters. 11. DFT and FFT Processing. 12. Hardware for DSPs. 13. Programming DSPs. 14. Signal Processing. 15. Image Processing. 16. Wavelets. Appendices. Index.