Book description
Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLAB scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of metadata architectures using XML and agentbased automated data mining and control. The numerous algorithms presented can be applied locally or networkbased to solve complex detection problems.
Table of contents
 Cover
 Half Title
 Title Page
 Copyright Page
 Dedication
 Table of Contents
 Preface
 Acknowledgments
 Author

Part I Fundamentals of Digital Signal Processing
 Chapter 1 Sampled Data Systems
 Chapter 2 zTransform
 Chapter 3 Digital Filtering

Chapter 4 Digital Audio Processing
 4.1 Basic Room Acoustics
 4.2 Artificial Reverberation and Echo Generators
 4.3 Flanging and Chorus Effects
 4.4 Bass, Treble, and Parametric Filters
 4.5 Amplifier and Compression/Expansion Processors
 4.6 DigitaltoAnalog Reconstruction Filters
 4.7 Audio File Compression Techniques
 4.8 MATLAB® Examples
 4.9 Summary
 Problems
 References
 Chapter 5 Linear Filter Applications

Part II Frequency Domain Processing
 Chapter 6 Fourier Transform

Chapter 7 Spectral Density
 7.1 Spectral Density Derivation

7.2 Statistical Metrics of Spectral Bins
 7.2.1 Probability Distributions and PDFs
 7.2.2 Statistics of the NPSD Bin
 7.2.3 SNR Enhancement and the Zoom FFT
 7.2.4 Conversion of Random Variables
 7.2.5 Confidence Intervals for Averaged NPSD Bins
 7.2.6 Synchronous Time Averaging
 7.2.7 HigherOrder Moments
 7.2.8 Characteristic Function
 7.2.9 Cumulants and Polyspectra
 7.3 Transfer Functions and Spectral Coherence
 7.4 Intensity Field Theory
 7.5 Intensity Display and Measurement Techniques
 7.6 MATLAB® Examples
 7.7 Summary
 Problems
 References
 Chapter 8 Wavenumber Transforms

Part III Adaptive System Identification and Filtering
 Chapter 9 Linear LeastSquared Error Modeling
 Chapter 10 Recursive LeastSquares Techniques
 Chapter 11 Recursive Adaptive Filtering
 Part IV Wavenumber Sensor Systems

Part V Signal Processing Applications
 Chapter 15 Noise Reduction Techniques
 Chapter 16 Sensors and Transducers
 Chapter 17 Intelligent Sensor Systems
 Index
Product information
 Title: Signal Processing for Intelligent Sensor Systems with MATLAB®, 2nd Edition
 Author(s):
 Release date: July 2011
 Publisher(s): CRC Press
 ISBN: 9781439896280
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