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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Signal processing with free software / Francois Auger.

By: Material type: TextPublisher: Hoboken, NJ : ISTE Ltd/John Wiley and Sons Inc, 2013Description: pages cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781848214637
DDC classification:
  • 23 621.382 2 AUG
Online resources:
Contents:
Preface vii Introduction ix Chapter 1. Generating Elementary Signals 1 1.1. General points 1 1.2. Generation of elementary wave forms 2 1.3. Elementary signal processing operations 4 1.4. Using other file formats 8 Chapter 2. Signal Analysis 13 2.1. Measuring the temporal and frequency characteristics of a signal 13 2.2. Time-frequency analysis of a signal 16 2.3. Non-parametric spectral analysis 18 2.3.1. Analytical case studies 20 2.3.2. Practical application 23 Chapter 3. Signal Processing 27 3.1. Sampling 27 3.1.1. Analytical case studies 29 3.1.2. Practical applications 35 3.2. Resampling 37 3.3. Analog filtering 38 3.3.1. Analytical case studies 40 3.3.2. Practical applications 44 3.4. Digital filtering 53 3.4.1. Analytical case studies 53 3.4.2. Practical applications 63 Bibliography 67 Index 69
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Stack text books All India Institute of Speech and Hearing 108/3 621.382 2 AUG (Browse shelf) Available 20190
Total holds: 0

Preface vii Introduction ix Chapter 1. Generating Elementary Signals 1 1.1. General points 1 1.2. Generation of elementary wave forms 2 1.3. Elementary signal processing operations 4 1.4. Using other file formats 8 Chapter 2. Signal Analysis 13 2.1. Measuring the temporal and frequency characteristics of a signal 13 2.2. Time-frequency analysis of a signal 16 2.3. Non-parametric spectral analysis 18 2.3.1. Analytical case studies 20 2.3.2. Practical application 23 Chapter 3. Signal Processing 27 3.1. Sampling 27 3.1.1. Analytical case studies 29 3.1.2. Practical applications 35 3.2. Resampling 37 3.3. Analog filtering 38 3.3.1. Analytical case studies 40 3.3.2. Practical applications 44 3.4. Digital filtering 53 3.4.1. Analytical case studies 53 3.4.2. Practical applications 63 Bibliography 67 Index 69

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