Digital Signal Processing (PDF)
A Practitioner's Approach
(Sprache: Englisch)
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,...
and reliability of a range of engineering systems, including
communications, networking, and audio and video applications. Using
a combination of programming and mathematical techniques,...
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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.
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.
Inhaltsverzeichnis zu „Digital Signal Processing (PDF)“
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.
... mehr
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.
... weniger
Autoren-Porträt von Kaluri V. Rangarao, Ranjan K. Mallik
Dr Kaluri V. Rangarao, Satyam Computer Services Ltd, SatyamTechnology Center, Bahadurpally, RR District 500043, Andhra
Pradesh, India.
Dr 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, 210 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470032871
- ISBN-13: 9780470032879
- Erscheinungsdatum: 22.02.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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