Digital Signal Processing and its Applications

Contents: 1. Introduction. 2. Discrete-Time System Analysis. 3. Discrete Fourier Transform (DFT) and Its Computation Using FFT. 4. FIR Filter Design. 5. FIR Filter Realization Structures. 6. IIR Filter Design. 7. IIR Filter Realization Structures. 8. Finite Word Length Effect. 9. Multirate Signal Processing. 10. Discrete Random Signal Processing and Power Spectrum. 11. Application of DSP to Speech Processing. 12. Application of DSP to Image Processing. 13. Biomedical Applications of DSP. 14. Discrete Cosine Transform and Haar Transform. 15. Digital Signal Processors. Appendix A – Introduction to Open Source Software Scilab.

Digital Signal Processing and Its Applications with Scilab software programs introduces the tools used in the analysis and design of discrete time systems for signal processing. It is intended for undergraduate program on Digital Signal Processing theory and Lab. Key Features: • Scilab based examples are used throughout the text. The text includes over 80 Scilab programs and more than 100 programs are included in the website. • The text contains numerous “real-life” signal processing problems. The last three chapters are dedicated to important applications of DSP such as speech processing, digital image processing and biomedical signal processing. • Comprehensive coverage of several key topics, including digital filter design, digital filter structures, analysis of finite word-length effects, and multirate digital signal processing. • This text is also useful for a computer-based Digital Signal Processing (DSP) Laboratory course using Scilab software.