Systems, Methods, and Uses of a Bayes-Optimal Nonlinear Filtering Algorithm

作者: Atiyeh Ghoreyshi , Terence D. Sanger

DOI:

关键词: Flexibility (engineering)AlgorithmSignalBayes' theoremPower (physics)State (computer science)Likelihood functionBayesian probabilityComputer scienceFilter (signal processing)

摘要: A stochastic Bayesian non-linear filtering system and method that improves the of noisy signals by providing efficiency, power, speed, flexibility. The filter only requires likelihood function p(observation|state) to determine state works in various measurement models. This allows for processing be used real time, such as a biofeedback device senses surface electromyography muscle electrical activity, filters sensed signal using nonlinear method, provides vibrations based on muscular activity.

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