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Hardware Implementation of Task-based Quantization in Multi-user Signal Recovery
In this work, we apply task-based quantization to multi-user signal recovery and present a hardware prototype implementation.
ORCEA: Object Recognition by Continuous Evidence Assimilation
directly on the object parameter space; this made possible by the study phase where ORCEA builds a probabilistic model, for each evidence type, that links evidence and the object-parameters under which they were created.
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