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Digital signal processing is essential for improving the accuracyand reliability of a range of engineering systems, includingcommunications, networking, and audio and video applications. Usinga combination of programming and mathematical techniques, itclarifies, or standardizes the levels or states of a signal, inorder to meet the demands of designing high performance digitalhardware. Written by authors with a wealth of practical experience workingwith digital signal processing, this text is an excellentstep-by-step guide for practitioners and researchers needing tounderstand and quickly…mehr
Digital signal processing is essential for improving the accuracyand reliability of a range of engineering systems, includingcommunications, networking, and audio and video applications. Usinga combination of programming and mathematical techniques, itclarifies, or standardizes the levels or states of a signal, inorder to meet the demands of designing high performance digitalhardware. Written by authors with a wealth of practical experience workingwith digital signal processing, this text is an excellentstep-by-step guide for practitioners and researchers needing tounderstand and quickly implement the technology. Split into six,self-contained chapters, Digital Signal Processing: APractitioner's Approach covers: * basic principles of signal processing such as linearity,stability, convolution, time and frequency domains, and noise; * descriptions of digital filters and their realization,including fixed point implementation, pipelining, and fieldprogrammable gate array (FGPA) implementation; * Fourier transforms, especially discrete (DFT), and fast Fouriertransforms (FFT); * case studies demonstrating difference equations, direction ofarrival (DoA), and electronic rotating elements, and MATLABprograms to accompany each chapter. A valuable reference for engineers developing digital signalprocessing applications, this book is also a useful resource forelectrical and computer engineering graduates taking courses insignal processing.
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Dr Kaluri V. Rangarao, Satyam Computer Services Ltd, SatyamTechnology Center, Bahadurpally, RR District 500043, AndhraPradesh, India. Dr Rangarao is currently Vice President of Satyam ComputerServices, Ltd, India working in the areas of embedded softwaredevelopment and telecoms. Before this post, he has had 14 yearsexperience in industry working with applications of digital signalprocessing, software engineering, real-time systems, digital imageprocessing and product development. He is also a senior member ofIEEE, Chairman of the Computer Society of India and has had over 10journal and conference papers published on the subjects of signalprocessing and software development. Dr Ranjan K. Mallik, Associate Professor, Department ofElectrical Engineering, Indian Institute of Technology -Delhi, Hauz Khas, New Delhi 11016, India. Dr Mallik is currently an Associate Professor in the Department ofElectrical Engineering at the Indian Institute of Technology,Delhi. He has been teaching at the Institute since 1994 and is nowconducting research in the areas of communication theory andsystems, difference equations and linear algebra. He has hadindustry experience in the Defence Electronics Research Laboratoryin India and has written over 60 journal and conference papers ondigital signal processing and communication theory.
Foreword.Preface.Acknowledgements.1. Processing of Signals.1.1 Organisation of the Book.1.2 Classification of Signals.1.3 Transformations.1.4 Signal Characterisation.1.5 Converting Analogue Signals to Digital.1.6 Signal Seen by the Computing Engine.1.7 It Is Only Numbers.1.8 Summary.References.2. Revisiting the Basics.2.1 Linearity.2.2 Linear System Representation.2.3 Random Variables.2.4 Noise.2.5 Propagation of Noise in Linear Systems.2.6 Multivariate Functions.2.7 Number Systems.2.8 Summary.References.3. Digital Filters.3.1 How to Specify a Filter.3.2 Moving-Average Filters.3.3 Infinite Sequence Generation.3.4 Unity-Gain Narrowband Filter.3.5 All-Pass Filter.3.6 Notch Filter.3.7 Other Autoregressive Filters.3.8 Adaptive Filters.3.9 Demodulating via Adaptive Filters.3.10 Phase Shift via Adaptive Filter.3.11 Inverse Problems.3.12 Kalman Filter.3.13 Summary.References.4. Fourier Transform and Signal Spectrum.4.1 Heterodyne Spectrum Analyser.4.2 Discrete Fourier Transform.4.3 Decimating the Given Sequence.4.4 Fast Fourier Transform.4.5 Fourier Series Coefficients.4.6 Convolution by DFT.4.7 DFT in Real Time.4.8 Frequency Estimation via DFT.4.9 Parametric Spectrum in RF Systems.4.10 Summary.References.5. Realisation of Digital Filters.5.1 Evolution.5.2 Development Process.5.3 Analogue-to-Digital Converters.5.4 Second-Order BPF.5.5 Pipelining Filters.5.6 Real-Time Applications.5.7 Frequency Estimator on the DSP5630X.5.8 FPGA Implementation of a Kalman Filter.5.9 Summary.References.6. Case Studies.6.1 Difference Equation to Program.6.2 Estimating Direction of Arrival.6.3 Electronic Rotating Elements.6.4 Summary.References.Appendix: MATLAB and C Programs.A.1 Chapter 1 MATLAB Programs.A.2 Chapter 2 MATLAB Programs.A.3 Chapter 3 MATLAB Programs.A.4 Chapter 4 MATLAB Programs.A.5 Chapter 5 Programs.A.6 Chapter 6 MATLAB Programs.A.7 Library of Subroutines.A.8 Some Useful Programs.Index.
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