Digital signal processing : a practitioner's approach /

Digital signal processing : a practitioner's approach /

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Bibliographic Details
Author / Creator:Rangarao, Kaluri Venkata.
Imprint:Chichester, England ; Hoboken, NJ : John Wiley, ©2005.
Description:1 online resource (xvi, 191 pages) : illustrations : digital, HTML and PDF files
Language:English
Subject:
Signal processing -- Digital techniques.
Signal Processing, Computer-Assisted
Signal processing -- Digital techniques
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13593104
Hidden Bibliographic Details
Other authors / contributors:Mallik, Ranjan K.
ISBN:0470017694
9780470017692
9781601193759
1601193750
0470032871
9780470032879
9780470034002
0470034009
Notes:Includes bibliographical references and index.
Print version record.
Summary: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 qu.
Other form:Print version: Rangarao, Kaluri Venkata. Digital signal processing. Chichester, England ; Hoboken, NJ : John Wiley, ©2005 0470017694
Standard no.:9780470017692
10.1002/0470034009
Table of Contents:
  • 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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