Digital Signal Processing

Description:

For an introductory, senior-level course in Electrical Engineering Technology

An exceptionally accessible writing style with an emphasis on the theoretical aspects of digital signal processing makes this text more appropriate for introductory students than most other texts. By presenting the basic principles of digital signal processing, the text explains how the coefficients of the discrete time system equation are selected in order to implement the desired “digital filter.”

Table of Contents:

 1. Linear, Shift-Invariant Continuous Time Systems. 

 2. Frequency Domain Analysis for LSI Continuous Time Systems. 

 3. Fourier Transform Analysis of Continuous Time LSI Systems. 

 4. Butterworth and Chebyshev Lowpass and Highpass Filters. 

 5. Linear, Shift-Invariant Discrete Time Systems. 

 6. Frequency Domain Analysis of Discrete Time Systems. 

 7. Sampling Theorem and Real-World D/A Conversion. 

 8. Discrete Fourier Transform (DFT) & Fast Fourier Transform (FFT). 

 9. Design of FIR Filters.

10. Design of IIR Filters Using the Bilinear Transformation.

11. Adaptive FIR Filters Using the LMS Algorithm.

12. Random Signals and Power Spectra, A/D Conversion Noise, and Oversampling.

Appendix A: Convolution.

Appendix B: Programming FIR Filter Algorithms in Higher- Level Languages.

Appendix C: Derivation of Equation 10.8.

Appendix D: Parseval's Theorem.

Bibliography.

Index.