OARBIT Optimal Allocations fo Resources by Information Theory
The OARBIT Phase I effort focused on three main areas: (1) the development of preliminary mathematical models for sensing optimization, (2) the development of a proof-of-concept hardware and software, and (3) the application of minimum message length (MML) coding technique to compress signals and provide change-point detection. During Phase II we will extend this research and develop a top-level system architecture that integrates the components that were specified during the Phase I effort. In Phase II we will also (1) enhance the OARBIT components and define all system interfaces, (2) test the use of MML techniques against a variety of data sources, (3) extend the architecture and prototype to support multi-node networks, (4) develop analysis capabilities and a software framework for integration of all the individual tools and datasets, and (5) develop approach for technology commercialization. Phase II will produce a top-level architecture design, an enhanced demonstrable prototype, extended research results, and a final report.
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