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pro vyhledávání: '"Ricardo Albornoz"'
Publikováno v:
Sensors, Vol 21, Iss 22, p 7675 (2021)
Filtering and smoothing algorithms are key tools to develop decision-making strategies and parameter identification techniques in different areas of research, such as economics, financial data analysis, communications, and control systems. These algo
Externí odkaz:
https://doaj.org/article/96147113c8be49f388b358fe2989929c
Publikováno v:
IFAC-PapersOnLine. 54:815-820
In this paper we develop two filtering algorithms for state-space systems with binary outputs. We approximate the conditional probability mass function of the output signal given the state by using a Gaussian quadrature rule. This approximation natur
Publikováno v:
2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).
In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariant systems with quantized output data. We take a Bayesian approach, therefore, we describe the behavior of the a posteriori probability density function