When Compressive Sensing Meets Mobile Crowdsensing
This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data. Mobile crowd...
Κύριοι συγγραφείς: | , , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Mathematical Theory of Compressive Sensing
- Basic Compressive Sensing for Data Reconstruction
- Bayesian Compressive Sensing for Task Allocation
- Adaptive Compressive Sensing for Incentive Mechanism
- Encoded Compressive Sensing for Privacy Preservation
- Iterative Compressive Sensing for Fault Detection
- Conclusion.