Introduction to Digital Signal Processing – Bob Meddins – 1st Edition

Chapter 1 The basics
*Chapter preview
*Analogue signal processing
*An alternative approach
*The complete DSP system
*Recap
*Digital data processing
*The running average filter
*Representation of processing systems
*Self-assessment test
*Feedback (or recursive) filters
*Self-assessment test
*Chapter summary
*Problems

Chapter 2 Discrete signals and systems
*Chapter preview
*Signal types
*The representation of discrete signals
*Self-assessment test
*Recap
*The z-transform
*z-Transform tables
*Self-assessment test
*The transfer function for a discrete system
*Self-assessment test MATLAB and signals and systems
*Recap
*Digital signal processors and the z-domain
*FIR filters and the z-domain
*IIR filters and the z-domain
*Self-assessment test
*Recap
*Chapter summary
*Problems

Chapter 3 The z-plane
*Chapter preview
*Poles, zeros and the s-plane
*Pole-zero diagrams for continuous signals
*Self-assessment test
*Recap
*From the s-plane to the z-plane
*Stability and the z-plane
*Discrete signals and the z-plane
*Zeros The Nyquist frequency
*Self-assessment test
*The relationship between the Laplace and z-transform
*Recap
*The frequency response of continuous systems
*Self-assessment test
*The frequency response of discrete systems
*Unstable systems
*Self-assessment test
*Recap
*Chapter
*summary
*Problems

Chapter 4 The design of IIR filters
*Chapter preview
*Filter basics
*FIR and IIR filters
*The direct design of IIR filters
*Self-assessment test
*Recap
*The design of IIR filters via analogue filters
*The bilinear transform
*Self-assessment test
*The impulse-invariant method
*Self-assessment test
*Pole-zero mapping
*Self-assessment test
*MATLAB and s-to-z transformations
*Classic analogue filters
*Frequency transformation in the s-domain
*Frequency transformation in the z-domain
*Self-assessment test
*Recap
*Practical realization of IIR filters
*Chapter summary
*Problems

Chapter 5 The design of FIR filters
*Chapter preview
*Introduction
*Phase-linearity and FIR filters
*Running average filters
*The Fourier transform and the inverse Fourier transform
*The design of FIR filters using the Fourier transform or 'windowing' method
*Windowing and the Gibbs phenomenon
*Highpass, bandpass and bandstop filters
*Self-assessment test
*Recap
*The discrete Fourier transform and its inverse
*The design of FIR filters using the 'frequency sampling' method
*Self-assessment test
*Recap The fast Fourier transform and its inverse
*MATLAB and the FFT
*Recap
*A final word of warning
*Chapter summary
*Problems