Bayesian Sensory Information Processing
The introductory chapter addressed the need for the application of constraints, both natural and artificial, to aid in the performance of sensory information processing tasks. We saw that a major problem concerning the use of constraints lies in determining how the constraints are to be embedded in the algorithm(s) that carry out the information processing tasks.
KeywordsKalman Filter Data Fusion Sensor Noise Subjective Approach Recursive Filter
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