Digital signal processing

Summary of contents

• Part 1 Introduction: digital signal processing and its benefits
• application areas
• key DSP operation
• overview of real-time signal processing
• application examples
• Part 2 Discrete transforms: DFT and its inverse
• properties of the DFT
• computational complexity of the DFT
• decimation-in-time fast Fourier transform algorithm
• inverse fast Fourier transform
• implementation of the FFT
• other discrete transforms
• worked examples
• Part 3 Z-transform and its applications in signal processing: discrete-time signals and systems
• the z-transform
• the inverse z-transform
• properties of the z-transform
• some applications of the z-transform in signal processing
• Part 4 Correlation and convolution: correlation description
• convolution description
• implemetation of correlation and convolution
• application examples
• Part 5 A framework for digital filter design: introduction to digital filters
• types of digital filters - FIR and IIR filters
• choosing between FIR and IIR filters
• filter design steps
• illustrative examples
• Part 6 Finite impulse responses (FIR) filter design: FIR filter design
• FIR filter specifications
• FIR coefficient calculation methods
• window method
• the optimal method
• frequency sampling method
• realization structures for FIR filters
• finite wordlength effects in FIR digital filters
• FIR implementation techniques
• design example
• Part 7 Design of infinite impulse response (IIR) digital filters: introduction - summary of the basic features of IIR filters
• design stages for digital IIR filters
• stage 1 - performance specification
• stage 2 - calculation of IIR filter coefficients
• stage 3 - realization structures for IIR digital filters
• stage 4 - analysis of finite wordlength effects
• stage 5 - implementation of the filter
• a detailed example of an IIR digital filter
• Part 8 Multirate digital signal processing: concepts of multirate signal processing
• design of practical sampling rate converters
• software implementation of sampling rate converters-decimators
• software implementation of interpolators
• application examples
• Part 9 Adaptive digital filters: when to use adaptive filters and where they have been used
• concepts of adaptive filtering
• basic Weisner filter theory
• the basic LMS adaptive algorithm
• recursive least squares algorithm
• Part 10 Spectrum estimation and analysis
• Part 11 General- and special-purpose hardware for DSP
• Part 12 Applications and case studies