About: Wiener Filtering with Spectrum Estimation by Wavelet Transformation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Current methods used to improve the signal–to–noise ratio mainly employ the Wiener filtering, or methods derived from it, such as spectral subtraction. All these methods assume that it is possible to determine or at least to estimate noise spectral characteristics. As can be derived, the estimation by the periodogram is not exact, but it contains a disturbance. Averaging the power spectra offers better results but the properties are simultaneously downgraded by a non-stationary disturbance. That is why the paper deals with the improvement of the power spectral density (PSD) estimation. To achieve this purpose we use the method of thresholding wavelet–transform coefficients, which we apply to each periodogram separately. Then the resultant estimation is used for the Wiener filter. The differences between the estimations obtained by the periodogram, by averaging and by this new method are shown in the paper. When we use wavelet transformation, a marked improvement in suppressing the disturbing signal a Current methods used to improve the signal–to–noise ratio mainly employ the Wiener filtering, or methods derived from it, such as spectral subtraction. All these methods assume that it is possible to determine or at least to estimate noise spectral characteristics. As can be derived, the estimation by the periodogram is not exact, but it contains a disturbance. Averaging the power spectra offers better results but the properties are simultaneously downgraded by a non-stationary disturbance. That is why the paper deals with the improvement of the power spectral density (PSD) estimation. To achieve this purpose we use the method of thresholding wavelet–transform coefficients, which we apply to each periodogram separately. Then the resultant estimation is used for the Wiener filter. The differences between the estimations obtained by the periodogram, by averaging and by this new method are shown in the paper. When we use wavelet transformation, a marked improvement in suppressing the disturbing signal a (en)
Title	Wiener Filtering with Spectrum Estimation by Wavelet Transformation Wiener Filtering with Spectrum Estimation by Wavelet Transformation (en)
skos:prefLabel	Wiener Filtering with Spectrum Estimation by Wavelet Transformation Wiener Filtering with Spectrum Estimation by Wavelet Transformation (en)
skos:notation	RIV/00216305:26220/01:PU20798!RIV/2002/GA0/262202/N
http://linked.open.../vavai/riv/strany	471-474
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/00/1084), Z(MSM 262200011)
http://linked.open...vai/riv/dodaniDat	2002
http://linked.open...aciTvurceVysledku	Sysel, Petr
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	702260
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/01:PU20798
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Wiener, filter, wavelet, estimation (en)
http://linked.open.../riv/klicoveSlovo	estimation wavelet Wiener filter
http://linked.open...ontrolniKodProRIV	[8DA7425F0212]
http://linked.open...v/mistoKonaniAkce	Bratislava
http://linked.open...i/riv/mistoVydani	Bratislava, Slovensko
http://linked.open...i/riv/nazevZdroje	Proceedings of International Conference on Trends in Communications
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...vavai/riv/projekt	RTD technology of sound separation from speech hidden in noise
http://linked.open...UplatneniVysledku	2001
http://linked.open...iv/tvurceVysledku	Sysel, Petr
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2001-07-04 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20262200011
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Slovenská technická univerzita v Bratislave. Fakulta elektrotechniky a informatiky
https://schema.org/isbn	0-7803-6490-2
http://localhost/t...ganizacniJednotka	26220

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