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Signal Processing for Intelligent Sensor Systems

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Title: Signal Processing for Intelligent Sensor Systems
Author: David C. Swanson
ISBN: 0824799429 / 9780824799427
Format: Hard Cover
Pages: 632
Publisher: Marcel Dekker
Year: 2000
Availability: In Stock
     
 
  • Description
  • Contents

The straightforward, practical book integrates a board range of physics, algorithms, and sensing techniques for development of intelligent systems including frequency domain processing, adaptive filtering, wavenumber systems, and signal processing applications-detailing adaptive least-squared error modeling.

Containing over 1100 equations, illustrations, and digital images, Signal Processing for Intelligent Sensor Systems describes data acquisition, system modeling, signal filtering in one and two dimensions, and pattern recognition….provides a detailed understanding of the state-of-the-art sonar, digital image processing, and tracking filters technology….examines the signal processing system as a physical device with physical laws to be studied and utilized by science…..applies basic adaptive signal processing principles to beamforming, system identification, and data trakcing…..uses recursive least-squares (RLS) to develop Kalman filters……features examples of transducers, calibration, electrical noise models, and adaptive and active noise cancellation……includes boot-strap strategies and lattice algorithms for system identification…and more.

Series Introduction
Preface
Acknowledgments

Part I : Fundamentals of Digital Signal Processing
Chapter 1 :
Sampled Data Systems
Chapter 2 : The Z-Transform
Chapter 3 : Digital Filtering
Chapter 4 : Linear Filter Applications

Part II : Frequency Domain Processing
Chapter 5 :
The Fourier Transform
Chapter 6 : Spectral Density
Chapter 7 : Wavenumber Transforms

Part III : Adaptive System Identification and Filtering
Chapter 8 :
Linear Least-Squared Error Modeling
Chapter 9 : Recursive Least-Squares Techniques
Chapter 10 : Recursive Adaptive Filtering

Part IV : Wavenumber Sensor Systems
Chapter 11 :
Narrowband Probability of Detection (PD) and False Alarm Rates (FAR)
Chapter 12 : Wavenumber and Bearing Estimation
Chapter 13 : Adaptive Beamforming

Part V : Signal Processing Application
Chapter 14 :
Intelligent Sensor Systems
Chapter 15 : Sensors, Electronics, and Noise Reduction Techniques

Appendix Answers to Problems
Index

 
 
 
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