Adaptive algorithms and variable structures for distributed estimation
The analysis and design of new non-centralized learning algorithms for potential application in distributed adaptive estimation is the focus of this thesis. Such algorithms should be designed to have low processing requirement and to need minimal communication between the nodes which would form a di...
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Format: | Default Thesis |
Published: |
2009
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Online Access: | https://hdl.handle.net/2134/34213 |
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