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Material or Process Book or Chapter Title Author or Editor Publication dates

Distributed Sensor Networks

Image and Sensor Signal Processing

Edited by: S. Sitharama Iyengar , R. Brooks Richard

Print publication date:  September  2012
Online publication date:  October  2016

Print ISBN: 9781439862827
eBook ISBN: 9780203729540
Adobe ISBN:

 Cite  Marc Record

Book description

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field.

Revised and expanded, this second edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Image and Sensor Signal Processing focuses on software issues and the history and future of sensor networks. The book also covers information fusion and power management.


Readers of this book may also be interested in Distributed Sensor Networks, Second Edition: Sensor Networking and Applications (ISBN: 9781439862872).

Table of contents

Chapter  1:  Microsensor Applications Download PDF
Chapter  2:  Interfacing Distributed Sensor Actuator Networks with the Physical World Download PDF
Chapter  3:  Contrast with Traditional Systems Download PDF
Chapter  4:  Digital Signal Processing Backgrounds Download PDF
Chapter  5:  Image Processing Background Download PDF
Chapter  6:  Object Detection and Classification Download PDF
Chapter  7:  Parameter Estimation Download PDF
Chapter  8:  Target Tracking with Self-Organizing Download PDF
Chapter  9:  Collaborative Signal and Information Processing Download PDF
Chapter  10:  Environmental Effects Download PDF
Chapter  11:  Detecting and Counteracting Atmospheric Effects Download PDF
Chapter  12:  Signal Processing and Propagation for Aeroacoustic Sensor Networks Download PDF
Chapter  13:  Distributed Multi-Target Detection in Sensor Networks Download PDF
Chapter  14:  Symbolic Dynamic Filtering for Pattern Recognition in Distributed Sensor Networks Download PDF
Chapter  15:  Beamforming Download PDF
Chapter  16:  Foundations of Data Fusion for Automation  Download PDF
Chapter  17:  Measurement-Based Statistical Fusion Methods for Distributed Sensor Networks Download PDF
Chapter  18:  Soft Computing Techniques Download PDF
Chapter  19:  Estimation and Kalman Filters Download PDF
Chapter  20:  Data Registration Download PDF
Chapter  21:  Signal Calibration, Estimation for Real-Time Monitoring and Control Download PDF
Chapter  22:  Semantic Information Extraction Download PDF
Chapter  23:  Fusion in the Context of Information Theory Download PDF
Chapter  24:  Multispectral Sensing Download PDF
Chapter  25:  Chebyshev’s Inequality-Based Multisensor Data Fusion in Self-Organizing Sensor Networks Download PDF
Chapter  26:  Markov Model Inferencing in Distributed Systems Download PDF
Chapter  27:  Emergence of Human-Centric Information Fusion Download PDF
Chapter  28:  Designing Energy-Aware Sensor Systems Download PDF
Chapter  29:  Operating System Power Management Download PDF
Chapter  30:  An Energy-Aware Approach for Sensor Data Communication Download PDF
Chapter  31:  Compiler-Directed Communication Energy Optimizations for Microsensor Networks Download PDF
Chapter  32:  Jamming Games in Wireless and Sensor Networks  Download PDF
Chapter  33:  Reasoning about Sensor Networks Download PDF
Chapter  34:  Testing and Debugging Sensor Network Applications Download PDF
prelims Download PDF
Index Download PDF
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