Description

Book Synopsis
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.

Table of Contents
Chapter 1. Introduction.

Chapter 2. 1-D and 2-D discrete-time signals.

Chapter 3. Discrete-time random processes.

Chapter 4. Statistics for signal processing.

Chapter 5. Convolution of 1-D and 2-D signals.

Chapter 6. Discrete Fourier transform of 1-D and 2-D discrete signals.

Chapter 7. Linear and invariant disctrete-time systems.

Chapter 8. Infinite impulse response filters.

Chapter 9. Finite impulse response filters.

Chapter 10. Digital modulations.

Chapter 11. Statistical signal processing: estimation.

Chapter 12. Power spectrum density estimation.

Chapter 13. Time-frequency spectral estimation.

Chapter 14. Model-based time-frequency spectral estimation.

Chapter 15. Statistical signal processing: classification.

Chapter 16. Data compression.

Chapter 17. Programming digital signal processors with MATLAB.

List of Authors.

Index.

Digital Signal Processing Using MATLAB

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    A Hardback by Andr¿ Quinquis

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      Book details

      Publisher ISTE Ltd and John Wiley & Sons Inc
      Published 10 March 2008
      ISBN-13 9781848210110
      978-1848210110
      ISBN-10 1848210116
      Also in:
      Digital signal processing (DSP)

      Description

      Book Synopsis
      This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.

      Table of Contents
      Chapter 1. Introduction.

      Chapter 2. 1-D and 2-D discrete-time signals.

      Chapter 3. Discrete-time random processes.

      Chapter 4. Statistics for signal processing.

      Chapter 5. Convolution of 1-D and 2-D signals.

      Chapter 6. Discrete Fourier transform of 1-D and 2-D discrete signals.

      Chapter 7. Linear and invariant disctrete-time systems.

      Chapter 8. Infinite impulse response filters.

      Chapter 9. Finite impulse response filters.

      Chapter 10. Digital modulations.

      Chapter 11. Statistical signal processing: estimation.

      Chapter 12. Power spectrum density estimation.

      Chapter 13. Time-frequency spectral estimation.

      Chapter 14. Model-based time-frequency spectral estimation.

      Chapter 15. Statistical signal processing: classification.

      Chapter 16. Data compression.

      Chapter 17. Programming digital signal processors with MATLAB.

      List of Authors.

      Index.

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