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Description
| - V tomto příspěvku je představena nová metoda pro získání časo-frekvenční reprezentace okamžité frekvence signálu. Kalmánův filtr je zde použit pro rozklad signálu do módů s dobře definovanou okamžitou frekvencí. Model rezonátoru druhého řádu je použit jako model komponent signálu - %22monokomponentních funkcí%22. Současně je jsou Kalmanovým filtrem odhadovány časově proměnné komponenty signálu v komplexní formě. Počáteční parametry pro Kalmanův filtr jsou získány z odhadu spektrální hustoty pomocí Burgova algoritmu. Pro ilustraci výkonosti metody je uveden příklad reálné aplikace, který ukazuje přínos této metody ke zlepšení časo-frekvenčního rozlišení. (cs)
- In this paper, a new method for obtaining a time-frequency representation of instantaneous frequency is introduced . A Kalman filter serves for dissociation of signal into modes with well defined instantaneous frequency. A second order resonator model is used as a model of signal components - 'monocomponent functions'. Simultaneously, the Kalman filter estimates the time-varying signal components in a complex form. The initial parameters for Kalman filter are obtained from the estimation of the spectral density through the Burg's algorithm by fitting an auto-regressive prediction model to the signal. To illustrate the performance of the proposed method, example of real application shows the contribution of this method to improve the time-frequency resolution.
- In this paper, a new method for obtaining a time-frequency representation of instantaneous frequency is introduced . A Kalman filter serves for dissociation of signal into modes with well defined instantaneous frequency. A second order resonator model is used as a model of signal components - 'monocomponent functions'. Simultaneously, the Kalman filter estimates the time-varying signal components in a complex form. The initial parameters for Kalman filter are obtained from the estimation of the spectral density through the Burg's algorithm by fitting an auto-regressive prediction model to the signal. To illustrate the performance of the proposed method, example of real application shows the contribution of this method to improve the time-frequency resolution. (en)
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Title
| - Nonstationary Signals Analysis Using Kalman Filter
- Nonstationary Signals Analysis Using Kalman Filter (en)
- Analýza nestacionárních signálů s využitím Kalmanova filtru (cs)
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skos:prefLabel
| - Nonstationary Signals Analysis Using Kalman Filter
- Nonstationary Signals Analysis Using Kalman Filter (en)
- Analýza nestacionárních signálů s využitím Kalmanova filtru (cs)
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skos:notation
| - RIV/49777513:23520/07:00000473!RIV08-MSM-23520___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/49777513:23520/07:00000473
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - time-frequency analysis, instantaneous frequency, Kalman filter, state estimation, Hilbert transform (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of 8th International Carpathian Control Conference ICCC'2007
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Janeček, Eduard
- Liška, Jindřich
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Technical University, BERG Faculty
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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