Results 231 to 240 of about 5,739,953 (290)

Multi-Target Behavior and Intent Prediction Under Incomplete Perception. [PDF]

Sensors (Basel)
Ma Y, Han Y, Zhang X, Ping P.
europepmc   +1 more source

Inferring the causes of noise from binary outcomes: A normative theory of learning under uncertainty. [PDF]

Psychol Rev
Fang X, Piray P.
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Toward a Neurobiological Model of Gestalt Confluence: Thalamocortical Integration as a Hypothetical Framework for Contact Interruption. [PDF]

Brain Sci
Tortora E, Cioffi V, Scognamiglio C, Mosca LL, Moretto E, Stanzione R, Marino F, Salonia G, Montanari C, Rossi O, Billi C, Lommatzsch A, Ferrara A, Crispino S, Gigante E, Pizzimenti M, Melis R, Temporin E, Sperandeo R.   +18 more
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Cyclic Wiener filtering: theory and method

IEEE Transactions on Communications, 1993
Conventional time and space filtering of stationary random signals, which amounts to forming linear combinations of time translates and space translates, exploits the temporal and spatial coherence of the signals. By including frequency translates as well, the spectral coherence that is characteristic of cyclostationary signals can also be exploited ...
W A Gardner
exaly   +2 more sources

Quantum Filtering Theory and the Filtering Interpretation

AIP Conference Proceedings, 2005
Starting from an elementary level we present the theory of quantum filtering. The physical and philosophical principles of stochastic master equations describing the dynamics of a continuously observed quantum system are explained in terms of quantum filtering equations.
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Measure Theory and Filtering

, 2004
This book was published in 2004. The estimation of noisily observed states from a sequence of data has traditionally incorporated ideas from Hilbert spaces and calculus-based probability theory. As conditional expectation is the key concept, the correct setting for filtering theory is that of a probability space.
Aggoun, L., Elliott, R.
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Locus Filters: Theory and Application [PDF]

Journal of Imaging Science and Technology, 2023
Recently, a theoretical framework was presented for designing colored filters called Locus Filters. Locus filters are designed so that any Wien-Planckian light, post filtering, is mapped to another Wien-Planckian light. Moreover, it was also shown that only filters designed according to the locus filter framework have this locus-to-locus mapping ...
Deeb, Rada, Finlayson, Graham D., Daneshvar, Elaheh   +2 more
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The Kalman filter in the context of adaptive filter theory

International Journal of Circuit Theory and Applications, 2004
AbstractModel‐based adaptive algorithms are usually derived with the help of the Wiener‐Hopf equation based on empirical statistics. They are often interpreted as an extension to their model‐independent counterparts, i.e. the stochastic‐gradient based adaptive filters.
Daniel Lippuner, George S. Moschytz
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Bandpass filters: theory and experiment

Applied Optics, 1983
On a montre que des mailles inductives avec des ouvertures de forme cruciforme peuvent etre de bons filtres passe-bande dans l'infrarouge ...
R C, Compton, R C, McPhedran
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Nonlinear filtering theory

IEEE Transactions on Automatic Control, 1965
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