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