作者: Atiyeh Ghoreyshi , Terence D. Sanger
DOI:
关键词: Flexibility (engineering) 、 Algorithm 、 Signal 、 Bayes' theorem 、 Power (physics) 、 State (computer science) 、 Likelihood function 、 Bayesian probability 、 Computer science 、 Filter (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.