Search results for "Robust filter"

showing 2 items of 2 documents

Futures pricing in electricity markets based on stable CARMA spot models

2012

We present a new model for the electricity spot price dynamics, which is able to capture seasonality, low-frequency dynamics and the extreme spikes in the market. Instead of the usual purely deterministic trend we introduce a non-stationary independent increments process for the low-frequency dynamics, and model the large uctuations by a non-Gaussian stable CARMA process. The model allows for analytic futures prices, and we apply these to model and estimate the whole market consistently. Besides standard parameter estimation, an estimation procedure is suggested, where we t the non-stationary trend using futures data with long time until delivery, and a robust L 1 -lter to nd the states of …

FOS: Computer and information sciencesEconomics and EconometricsElectricity spot pricebusiness.industryEstimation theoryRisk premium60G52 62M10 91B84 (Primary) 60G10 60G51 91B70 (Secondary)Lévy processStatistics - ApplicationsCARMA model electricity spot prices electricity forward prices continuous time linear model Lévy process stable CARMA process risk premium robust filterddc:MicroeconomicsFOS: Economics and businessGeneral EnergyBase load power plantPeak loadEconometricsEconomicsApplications (stat.AP)ElectricityPricing of Securities (q-fin.PR)businessFutures contractQuantitative Finance - Pricing of Securities
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Removal of streaking artefact in the images of the Pierre Auger Observatory infra-red cameras

2011

In this paper the problem of removing concentric semi-circular stripe artefacts induced by the operating hardware of the infra red cameras of the Pierre Auger Observatory, is tackled. The method builds on top of a recent algorithm for the removal of artefacts, which presents a robust filter, obtained as a combination of Wavelet and Fourier analysis, capable of eliminating horizontal and vertical stripes in images, while trying to preserve structural features and quantitative values of the image. The method requires several parameters which have been tuned by an exhaustive test on a large set of images. The results show that the method is capable to satisfactorily remove the stripe artefacts.

Pierre Auger ObservatoryNuclear and High Energy PhysicsEngineeringSettore INF/01 - Informaticabusiness.industryInfraredComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAstrophysics::Instrumentation and Methods for AstrophysicsCloud detectionAtomic and Molecular Physics and OpticsStreakingsymbols.namesakeWaveletOpticsFourier analysissymbolsbusinessRobust filter
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