Digital Signal Processing
A Practitioner's Approach
(Sprache: Englisch)
This excellent text is designed to be an easy to read, practical guide for practitioners and researchers requiring an accessible reference text on digital signal processing. The book is split into six self contained chapters, allowing the reader to quickly...
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Produktinformationen zu „Digital Signal Processing “
This excellent text is designed to be an easy to read, practical guide for practitioners and researchers requiring an accessible reference text on digital signal processing. The book is split into six self contained chapters, allowing the reader to quickly locate and implement different aspects of the subject as required.
Klappentext zu „Digital Signal Processing “
Digital signal processing is essential for improving the accuracy and reliability of a range of engineering systems, including communications, networking, and audio and video applications. Using a combination of programming and mathematical techniques, it clarifies, or standardizes the levels or states of a signal, in order to meet the demands of designing high performance digital hardware.Written by authors with a wealth of practical experience working with digital signal processing, this text is an excellent step-by-step guide for practitioners and researchers needing to understand and quickly implement the technology. Split into six, self-contained chapters, Digital Signal Processing: A Practitioner'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 field programmable gate array (FGPA) implementation;
* Fourier transforms, especially discrete (DFT), and fast Fourier transforms (FFT);
* case studies demonstrating difference equations, direction of arrival (DoA), and electronic rotating elements, and MATLAB programs to accompany each chapter.
A valuable reference for engineers developing digital signal processing applications, this book is also a useful resource for electrical and computer engineering graduates taking courses in signal processing.
Designed to be an easy-to-read, practical guide for practitioners and researchers requiring an accessible reference text on digital signal processing, Digital Signal Processing is split into six self-contained chapters, allowing the reader to quickly locate and implement different aspects of the subject as required. The authors primarily introduce the concept of signal processing, providing information on types of signals, transformations (for example, the Z-transform), parametric and nonparametric characterizations, and analog to digital conversions. Next, they present the fundamental concepts needed for understanding systems using signal processing, like linearity, stability, stability, convolution, and linear system representations in time and frequency domains. There is also a description of the concept of noise and its significance in such systems. The following chapters are on digital filters (including popular digital filters, moving average filters and adaptive filters), fast fourier transforms and the realization of digital filters, such as fixed-point implementation and pipelining. Finally, a chapter on case studies and research topics, like target tracking, frequency estimation and demodulation of FSK signals, gives the reader real-world examples of digital signal processing.
Inhaltsverzeichnis zu „Digital Signal Processing “
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
... mehr
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.
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.
... weniger
Autoren-Porträt von Kaluri V. Rangarao, Ranjan K. Mallik
Dr Kaluri V. Rangarao, Satyam Computer Services Ltd, Satyam Technology Center, Bahadurpally, RR District 500043, Andhra Pradesh, IndiaDr Rangarao is currently Vice President of Satyam Computer Services, Ltd, India working in the areas of embedded software development and telecoms. Before this post, he has had 14 years experience in industry working with applications of digital signal processing, software engineering, real-time systems, digital image processing and product development. He is also a senior member of IEEE, Chairman of the Computer Society of India and has had over 10 journal and conference papers published on the subjects of signal processing and software development.
Dr Ranjan K. Mallik, Associate Professor, Department of Electrical Engineering, Indian Institute of Technology - Delhi, Hauz Khas, New Delhi 11016, India
Dr Mallik is currently an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Delhi. He has been teaching at the Institute since 1994 and is now conducting research in the areas of communication theory and systems, difference equations and linear algebra. He has had industry experience in the Defence Electronics Research Laboratory in India and has written over 60 journal and conference papers on digital signal processing and communication theory.
Bibliographische Angaben
- Autoren: Kaluri V. Rangarao , Ranjan K. Mallik
- 2006, 1. Auflage, 224 Seiten, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470017694
- ISBN-13: 9780470017692
Sprache:
Englisch
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