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Description
| - The STFT is a compromise between time and frequency based views of a signals. It provides some information about both when and what frequencies a signal event occurs. The precision of obtained information is limited because it is determined by the size of the window. Wavelet transform represents the next logical step, a windowing technique with a variable-sized region. The major advantage of this method is the ability to perform local analysis - which is to analyse a localized area of a larger signal. Wavelet transform is capable of revealing aspects of data that other signal analyses miss. This transform use different functions (Morlet, Paul, DOG, Daubechies, etc.) for decomposition of a signal then Fourier transform. These functions have different properties (orthogonal-nonorthogonal, complex-real, different with, different shape, etc.).
- The STFT is a compromise between time and frequency based views of a signals. It provides some information about both when and what frequencies a signal event occurs. The precision of obtained information is limited because it is determined by the size of the window. Wavelet transform represents the next logical step, a windowing technique with a variable-sized region. The major advantage of this method is the ability to perform local analysis - which is to analyse a localized area of a larger signal. Wavelet transform is capable of revealing aspects of data that other signal analyses miss. This transform use different functions (Morlet, Paul, DOG, Daubechies, etc.) for decomposition of a signal then Fourier transform. These functions have different properties (orthogonal-nonorthogonal, complex-real, different with, different shape, etc.). (en)
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Title
| - Using of Wavelet Transform in Signal Processing of Acoustical Signals
- Using of Wavelet Transform in Signal Processing of Acoustical Signals (en)
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skos:prefLabel
| - Using of Wavelet Transform in Signal Processing of Acoustical Signals
- Using of Wavelet Transform in Signal Processing of Acoustical Signals (en)
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skos:notation
| - RIV/68407700:21230/02:00077527!RIV10-MSM-21230___
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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/68407700:21230/02:00077527
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Acoustical Signals; Musical Acoustics; Signal Processing; Violin; Wavelet 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
| - POSTER 2002 - Book of Extended Abstracts
|
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
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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
| - České vysoké učení technické v Praze. Fakulta elektrotechnická
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http://localhost/t...ganizacniJednotka
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