Results 21 to 30 of about 60,956 (265)
Implicit Filtering and Optimal Design Problems [PDF]
, 1995 Implicit filtering is a form of the gradient projection method of Bertsekas in which the stepsize in a difference approximation of the gradient is changed as the iteration progresses. In this way the algorithm is able to avoid certain types of local minima and in some cases find accurate approximations to the global minimum.
P. Gilmore +3 more
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Discrete Dynamics in Nature and Society, 2015 This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays.
Dongyan Chen +3 more
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Software tool for processing and selecting objects in infrared images
Системный анализ и прикладная информатика, 2023 The article describes the scientific problem of processing images obtained in the infrared range. Methods for filtering such images in order to reduce noise are presented. Methods for optimal smoothing are described.
V. A. Rybak, Rabia Amro
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Micromachines, 2019 Since filament thermocouple is limited by its junction structure and dynamic characteristics, the actual heat conduction process cannot be reproduced during the transient thermal shock.
Chenyang Zhao, Zhijie Zhang
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Modified DRM+ signal generation algorithm with reduced crest factor
Физика волновых процессов и радиотехнические системы, 2020 To reduce the crest factor in the DRM+ system due to the limitations imposed by the standard the peak limiting method (clipping) and the window weighting method, which are based on signal distortion, are widely used.
Konstantin Yu. Morozov
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Systems Science & Control Engineering, 2021 This paper is concerned with the distributed filtering problem for a class of delayed nonlinear systems with random sensor saturation (RSS) under a dynamic event-triggered mechanism. The nonlinear function is assumed to satisfy the Lipschitz condition. A
Zehao Li, Jun Hu, Jiaxing Li
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Frontiers in Computational Neuroscience, 2015 Predictive coding appears to be one of the fundamental working principles of brain processing. Amongst other aspects, brains often predict the sensory consequences of their own actions. Predictive coding resembles Kalman filtering, where incoming sensory
Jan eKneissler +3 more
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Sensors, 2023 Aiming at the problem of distributed state estimation in sensor networks, a novel optimal distributed finite-time fusion filtering method based on dynamic communication weights has been developed.
Hang Yu +4 more
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INVESTIGATION OF FILTERING AND OBJECTS DETECTION ALGORITHMS FOR A MULTIZONE IMAGE SEQUENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The problem of detecting objects on a sequence of images with a complex structure is considered. Optimal and quasi-optimal algorithms for processing multidimensional images have been synthesized and investigated.
N. A. Andriyanov +3 more
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Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver
Remote Sensing, 2021 Adaptive filtering algorithms can be used on the time-domain processing of navigation receivers to suppress interference and maintain the navigation and positioning function.
Jie Song +4 more
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