Search results for "Filter"
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Kolaboratīvā filtrēšana ieteikumu sistēmās
2021
Darbs bija veltīts kolaboratīvai filtrēšanai ieteikumu sistēmās. Tika raksturota kolaboratīvās filtrēšanas metode, apskatīti galvēnie izaicinājumi, piemērām, datu nepietiekamība, mērogojamība u.c.. Sīkāk tika apskatīta uz atmiņu balstītas kolaboratīvās filtrēšanas metodes, uz modeļiem balstītas kolaboratīvās filtrēšanas metodes, hibrīdas kolaboratīvās filtrēšanas metodes un kolaboratīvās filtrēšanas novērtēšanas metrika. Praktiski tika apskatīts datu piemērs ar uz saturu balstītiem ieteikumiem un uz atmiņu balstītam kolaboratīvās filtrēšanas metodēm.
Stochastical Real Time Finite State Machine LPC for Planar Manipulator Control System Model estimation
2005
This paper presents a new stochastical real-time LPC (Last Principal Component) algorithm to estimate single-input-single-output (SISO) and multiple-input-multiple-output (MIMO) varying time models from input output data clusters of non stationary black boxes. Each of data clusters is on a time window. An application to estimate the control system model of a planar manipulator is developed. In fact many mathematical models of physical systems are non stationary such as industrial manipulator model. A real time estimation algorithm via stochastical LPC algorithm and an appraiser called "finite state machine" is then described For every data cluster the finite state machine updates the parame…
Adaptive algorithms robust to impulsive noise with low computational cost using order statistic
2009
Abstract In this paper a family of adaptive algorithms robust to impulsive noise and with low computational cost are presented. Unlike other approaches, no cost functions or filtering of the gradient are considered in order to update the filter coefficients. Its initial basis is the basic LMS algorithm and its sign-error variant. The proposed algorithms can be considered as some sign-error variants of the LMS algorithm. The algorithms are successfully tested in terms of accuracy and convergence in a standard system identification simulation in which an impulsive noise is present. Simulations show that they improve the performance of LMS variants that are robust to impulsive noise.
Leksinių samplaikų sąrašo tikslinimas: bandymas taikyti Formulex metodą
2017
A number of corpus studies focusing on the description of the use and functions of lexical bundles havebeen conducted recently in order to explore the phraseology of learner language. As with any studiesof lexical bundles, the problem of overlapping or structurally incomplete items poses a particularchallenge. In practice, it is often difficult to align such units with specific discourse functions. The factthat lexical bundles do not constitute neat form-and-meaning mappings results from, among otherreasons, their being grounded in language use rather than language system. In this pilot study weattempt to test a new method called Formulex (Forsyth, 2015a; 2015b) to verify whether an applica…
Optogenetically blocking sharp wave ripple events in sleep does not interfere with the formation of stable spatial representation in the CA1 area of …
2016
During hippocampal sharp wave/ripple (SWR) events, previously occurring, sensory inputdriven neuronal firing patterns are replayed. Such replay is thought to be important for plasticity-related processes and consolidation of memory traces. It has previously been shown that the electrical stimulation-induced disruption of SWR events interferes with learning in rodents in different experimental paradigms. On the other hand, the cognitive map theory posits that the plastic changes of the firing of hippocampal place cells constitute the electrophysiological counterpart of the spatial learning, observable at the behavioral level. Therefore, we tested whether intact SWR events occurring during th…
Fault detection for discrete-time Markov jump linear systems with partially known transition probabilities
2010
In this article, the fault detection (FD) problem for a class of discrete-time Markov jump linear system (MJLS) with partially known transition probabilities is investigated. The proposed systems are more general, which relax the traditional assumption in Markov jump systems that all the transition probabilities must be completely known. A residual generator is constructed and the corresponding FD is formulated as an H ∞ filtering problem by which the error between residual and fault are minimised in the H ∞ sense. The linear matrix inequality-based sufficient conditions for the existence of FD filter are derived. A numerical example on a multiplier–accelerator model economic system is give…
Deterministic Linkage as a Preceding Filter for Other Record Linkage Methods
2015
Deterministic record linkage (RL) is frequently regarded as a rival to more sophisticated strategies like probabilistic RL. We investigate the effect of combining deterministic linkage with other linkage techniques. For this task, we use a simple deterministic linkage strategy as a preceding filter: a data pair is classified as ‘match' if all values of attributes considered agree exactly, otherwise as ‘nonmatch'. This strategy is separately combined with two probabilistic RL methods based on the Fellegi–Sunter model and with two classification tree methods (CART and Bagging). An empirical comparison was conducted on two real data sets. We used four different partitions into training data a…
la suasoria nella preghiera agli dei: percorso diacronico dalla commedia alla tragedia
2009
Il lavoro si basa sul riconoscimento della struttura retorica della suasoria dal campo proprio dell'eloquenza a quello più 'metafisico' della preghiera rivolta ad un dio, nelle forme in cui essa è rappresentata in alcuni generi letterari, fra cui spicca il teatro e, segnatamente, il teatro comico. L'analisi degli esempi addotti è sempre puntuale e opportunamente attenta al dato stilistico, inteso soprattutto come ricorso a parallelismi e figure foniche. Questo tipo di indagine si rivela particolarmente fruttuosa per il teatro plautino, ove la ricchezza retorico-srilistica è caratteristica fondamentale anche della resa scenica. Sono numerosi gli studi che hannointeso dimostrare come Plauto u…
Shift- and scale-invariant recognition of contour objects with logarithmic radial harmonic filters.
2008
The phase-only logarithmic radial harmonic (LRH) filter has been shown to be suitable for scale-invariant block object recognition. However, an important set of objects is the collection of contour functions that results from a digital edge extraction of the original block objects. These contour functions have a constant width that is independent of the scale of the original object. Therefore, since the energy of the contour objects decreases more slowly with the scale factor than does the energy of the block objects, the phase-only LRH filter has difficulties in the recognition tasks when these contour objects are used. We propose a modified LRH filter that permits the realization of a shi…
Digital signal processing for relaxation data conversion
2005
Abstract The origins, philosophy and basic practical aspects are considered for an approach of digital data transformations for broadband dielectric relaxation spectroscopy and other relaxation experiments carrying out direct and inverse integral transforms with kernels depending on the ratio or product of arguments. The approach is based on the concept that the mentioned data transformations represent a filtering problem on a logarithmic scale allowing one to implement the transforms by digital functional filters with the logarithmic sampling. As an example, digital Kramers–Kronig transformers are considered.