Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jorge Ortega Contreras"'
Publikováno v:
WSEAS TRANSACTIONS ON SIGNAL PROCESSING. 17:16-21
This paper describes a way to improve the indoor navigation of mobile robots using radio frequency identification (RFID) technology. A net of RFID tags is deployed in the navigation space. A measurement system measures distances from the tags to the
Publikováno v:
IEEE Signal Processing Letters. 28:150-154
A novel approach is proposed to $H_2$ finite impulse response (FIR) prediction in discrete-time state-space. The biased-constrained $H_2$ optimal unbiased FIR ( $H_2$ -OUFIR) predictor derived under disturbances and measurement errors is shown to hav
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811939266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e403b74203beee77c9ee7ee5d80d779e
https://doi.org/10.1007/978-981-19-3927-3_1
https://doi.org/10.1007/978-981-19-3927-3_1
Autor:
Mario Gonzalez-Lee, Jose A. Andrade-Lucio, Jorge Ortega-Contreras, Eli G. Pale-Ramon, Yuriy S. Shmaliy, Luis J. Morales-Mendoza
Publikováno v:
CCE
Visual object tracking is commonly accompanied with large variations in the image frame size and position, as caused by the object dynamics and low frame rate. In this paper, we treat such variations as a Gauss-Markov colored measurement noise (CMN),
Autor:
Eli Pale Ramon, Shunyi Zhao, José Amparo Andrade Lucio, Yuriy S. Shmaliy, Jorge Ortega Contreras
Publikováno v:
2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC).
Tracking of moving objects is often accompanied with colored process noise (CPN) in the object speed. To reduce tracking errors, the Kalman and unbiased finite impulse response filtering algorithms are modified in this paper assuming the Gauss-Markov
Autor:
Eli Pale Ramon, Jorge Ortega Contreras, José Amparo Andrade Lucio, Shunyi Zhao, Yuriy S. Shmaliy
Publikováno v:
2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC).
Visual target tracking is often accompanied with colored measurement noise (CMN) caused by the object and camera frame dynamics, which require special estimation algorithms. In this paper, we consider the Kalman filter (KF) and unbiased finite impuls