Wyniki wyszukiwania - BazTech

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On Employing a Savitzky-Golay Filtering Stage to Improve Performance of Spectrum Sensing in CR Applications Concerning VDSA Approach

Angrisani L., Capriglione D., Cerro G., Ferrigno L., Miele G.

Metrology and Measurement Systems

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2016

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Vol. 23, nr 2

295--308

EN

In this paper, a filtering stage based on employing a Savitzky-Golay (SG) filter is proposed to be used in the spectrum sensing phase of a Cognitive Radio (CR) communication paradigm for Vehicular Dynamic Spectrum Access (VDSA). It is used to smooth the acquired spectra, which constitute the input for a spectrum sensing algorithm. The sensing phase is necessary, since VDSA is based on an opportunistic approach to the spectral resource, and the opportunities are represented by the user-free spectrum zones, to be detected through the sensing phase. Each filter typology presents peculiarities in terms of its computational cost, de-noising ability and signal shape reconstruction. The SG filtering properties are compared with those of the linear Moving Average (MA) filter, widely used in the CR framework. Important improvements are proposed.

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Implementacja cyfrowego filtru Savitzky'ego-Golaya w środowisku chmurowym

Czerwiński D.

Zeszyty Naukowe. Elektryka / Politechnika Łódzka

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2015

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z. 126

35--49

PL

Artykuł przedstawia wyniki badań eksperymentalnych implementacji cyfrowego filtru wygładzającego Savitzky’ego-Golaya w środowisku chmurowym z wykorzystaniem języka programowania R. Dokonano porównania wyników badań dla implementacji filtru w środowisku chmurowym oraz w komercyjnym rozwiązaniu klasy Enterprise. Filtr zastosowano do danych pomiarowych pochodzących z układu zawierającego taśmę z nadprzewodników wysokotemperaturowych i generującego liczbę punktów pomiarowych przekraczającą możliwości komercyjnych środowisk eksploracji danych.

EN

The article presents the results of experimental implementation of a digital Savitzky-Golay smoothing filter in the cloud environment using a R programming language. Comparison of test results for the implementation of the filter in the cloud environment and in commercial enterprise-class data mining system was presented. The filter was applied to measurement data from system consisting of high-temperature superconductors tape and generating the number of measurement points which excess the possibilities of commercial data mining environments.

3

Weighted smoothing filters based on fuzzy logic

Pęksiński J., Mikołajczak G.

Poznan University of Technology Academic Journals. Electrical Engineering

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2010

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No. 63

17-23

EN

The paper presents two-dimensional non-linear weighted average filter, for which weights were selected using fuzzy logic. The proposed algorithm was tested using test images in 256 shades of grey, jammed using white noise characterised by normal distribution. The mean square error (MSE) measure was used as a criterion for filtration quality assessment. The PIF coefficient was employed to assess filter impact on image structure.