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Chi-squared smoothed adaptive particle-filtering based prognosis
(Academic Press-Elsevier, 2017)
This paper presents a novel form of selecting the likelihood function of the standard sequential importance sampling/re-sampling particle filter (SIR-PF) with a combination of sliding window smoothing and chi-square statistic ...
Evaluation of filtering techniques for cell tracking in confocal microscopy images
(Proceedings of SPIE - The International Society for Optical Engineering, 2022)
FIR FILTERS (FINITE IMPULSE RESPONSE FILTERS)
(2017-01-31)
Moving average is an exceptionally good smoothing filter (the action in the time domain), but an exceptionally bad low-pass filter (the action in the frequency domain).
Improvement of the Turajli? Method for the Estimation of Gaussian Noise in Images
(Lecture notes in computer sciences, 2020)
The extended Kalman filter in the dynamic state estimation of electrical power systems
(Universidad UTE, 2018)
State estimatión and smoothing for the probability hypothesis density filter
(2010)
Tracking multiple objects is a challenging problem for an automated system,
with applications in many domains. Typically the system must be able to
represent the posterior distribution of the state of the targets, using a ...
An application of the maximum entropy method with smoothing to industrial tomography
(Planta Piloto de Ingeniería Química, 2013-10)
The maximum entropy method combined with a smoothing restriction was applied to the tomography of a BNC connector using five noisy radiographies from different rotating views. A heuristic control of the filter parameter ...