About: Comparison of selected methods for spectral analysis of non-stationary signals     Goto   Sponge   NotDistinct   Permalink

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

AttributesValues
rdf:type
Description
  • In this paper we present a comparison of selected methods that are suitable for the spectral analysis of non-stationary signals. The first selected method is the Wavelet transform (WT), often used in practical applications for analysing and pre-processing electrocardiograph signals (ECG). The second method is an adaptive modification of the widely-used Short-Time Fourier Transform (STFT). It achieves satisfactory results for multispectral analysis of non-stationary signals. The last selected method is our Short-Time Approximated Discrete Zolotarev Transform (STADZT), which exploits the unique spectral properties of selective Zolotarev polynomials and achieves better time and frequency resolution than STFT.
  • In this paper we present a comparison of selected methods that are suitable for the spectral analysis of non-stationary signals. The first selected method is the Wavelet transform (WT), often used in practical applications for analysing and pre-processing electrocardiograph signals (ECG). The second method is an adaptive modification of the widely-used Short-Time Fourier Transform (STFT). It achieves satisfactory results for multispectral analysis of non-stationary signals. The last selected method is our Short-Time Approximated Discrete Zolotarev Transform (STADZT), which exploits the unique spectral properties of selective Zolotarev polynomials and achieves better time and frequency resolution than STFT. (en)
Title
  • Comparison of selected methods for spectral analysis of non-stationary signals
  • Comparison of selected methods for spectral analysis of non-stationary signals (en)
skos:prefLabel
  • Comparison of selected methods for spectral analysis of non-stationary signals
  • Comparison of selected methods for spectral analysis of non-stationary signals (en)
skos:notation
  • RIV/68407700:21260/12:00198361!RIV13-GA0-21260___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP102/11/1795)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 128026
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21260/12:00198361
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Zolotarev transform, Fourier transform, Wavelet transform; spectral analysis, non-stationary signal (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FB74BB3074DA]
http://linked.open...v/mistoKonaniAkce
  • Plzeň
http://linked.open...i/riv/mistoVydani
  • Pilsen
http://linked.open...i/riv/nazevZdroje
  • 2012 International Conference on Applied Electronics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sovka, Pavel
  • Turoň, Václav
  • Vlček, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1803-7232
number of pages
http://purl.org/ne...btex#hasPublisher
  • Západočeská univerzita v Plzni
https://schema.org/isbn
  • 978-80-261-0038-6
http://localhost/t...ganizacniJednotka
  • 21260
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software