Distributed sensor networks Image and sensor signal processing Image and sensor signal processing /
The six years since the first edition appeared has seen the field of sensor networks ripen. The number of researchers working in the field and the number of technical (journal and conference) publications related to sensor networks have exploded. Those of us working in the field since its infancy ha...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Fla. :
CRC Press, Taylor & Francis Group
2013.
|
| Edición: | 2nd ed |
| Colección: | Chapman & Hall/CRC computer and information science series.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628849506719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface to the Second Edition; Preface to the First Edition; Editors; Contributors; Chapter 1 - Microsensor Applications; Chapter 2 - Interfacing Distributed Sensor Actuator Networks with the Physical World; Chapter 3 - Contrast with Traditional Systems; Chapter 4 - Digital Signal Processing Backgrounds; Chapter 5 - Image Processing Background; Chapter 6 - Object Detection and Classification; Chapter 7 - Parameter Estimation; Chapter 8 - Target Tracking with Self-Organizing Distributed Sensors
- Chapter 9 - Collaborative Signal and Information Processing: An Information-Directed ApproachChapter 10 - Environmental Effects; Chapter 11 - Detecting and Counteracting Atmospheric Effects; Chapter 12 - Signal Processing and Propagation for Aeroacoustic Sensor Networks; Chapter 13 - Distributed Multi-Target Detection in Sensor Networks; Chapter 14 - Symbolic Dynamic Filtering for Pattern Recognition in Distributed Sensor Networks; Chapter 15 - Beamforming; Chapter 16 - Foundations of Data Fusion for Automation*
- Chapter 17 - Measurement-Based Statistical Fusion Methods for Distributed Sensor NetworksChapter 18 - Soft Computing Techniques; Chapter 19 - Estimation and Kalman Filters; Chapter 20 - Data Registration; Chapter 21 - Signal Calibration, Estimation for Real-Time Monitoring and Control; Chapter 22 - Semantic Information Extraction; Chapter 23 - Fusion in the Context of Information Theory; Chapter 24 - Multispectral Sensing; Chapter 25 - Chebyshev's Inequality-Based Multisensor Data Fusion in Self-Organizing Sensor Networks; Chapter 26 - Markov Model Inferencing in Distributed Systems
- Chapter 27 - Emergence of Human-Centric Information FusionChapter 28 - Designing Energy-Aware Sensor Systems; Chapter 29 - Operating System Power Management; Chapter 30 - An Energy-Aware Approach for Sensor Data Communication; Chapter 31 - Compiler-Directed Communication Energy Optimizations for Microsensor Networks; Chapter 32 - Jamming Games in Wireless and Sensor Networks*; Chapter 33 - Reasoning about Sensor Networks; Chapter 34 - Testing and Debugging Sensor Network Applications; Back Cover
