About: A simple automatic classifier of PSK and FSK signals using characteristic cyclic spectrum     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
rdfs:seeAlso
Description
  • This article deals with current issues of automatic modulation recognition. As a suitable method, classification investigating characteristic shape of the signal cyclic spectrum was chosen. First, a theoretical analysis of the issue of calculating of cyclic spectrum estimation is made using Strip Spectral Correlation Algorithm (SSCA). In another part, important findings learned during experiments are presented and conditions for obtaining the characteristic cyclic spectrum are determined. After that, a simple automatic classifier of modulations is designed and optimized by using a series of experiments. The classifier designed was tested by using a series of random modulated signal realizations with AWGN noise.
  • This article deals with current issues of automatic modulation recognition. As a suitable method, classification investigating characteristic shape of the signal cyclic spectrum was chosen. First, a theoretical analysis of the issue of calculating of cyclic spectrum estimation is made using Strip Spectral Correlation Algorithm (SSCA). In another part, important findings learned during experiments are presented and conditions for obtaining the characteristic cyclic spectrum are determined. After that, a simple automatic classifier of modulations is designed and optimized by using a series of experiments. The classifier designed was tested by using a series of random modulated signal realizations with AWGN noise. (en)
Title
  • A simple automatic classifier of PSK and FSK signals using characteristic cyclic spectrum
  • A simple automatic classifier of PSK and FSK signals using characteristic cyclic spectrum (en)
skos:prefLabel
  • A simple automatic classifier of PSK and FSK signals using characteristic cyclic spectrum
  • A simple automatic classifier of PSK and FSK signals using characteristic cyclic spectrum (en)
skos:notation
  • RIV/60162694:G43__/11:00448996!RIV12-MO0-G43_____
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
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
  • 184140
http://linked.open...ai/riv/idVysledku
  • RIV/60162694:G43__/11:00448996
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • automatic modulation recognition; modulation classifier; PSK; FSK; cyclic spectrum; cyclostationarity; Matlab (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FE1DB9A31ACF]
http://linked.open...v/mistoKonaniAkce
  • Catania, Sicily, Italy
http://linked.open...i/riv/mistoVydani
  • Catania
http://linked.open...i/riv/nazevZdroje
  • Mathematical methods and techniques in engineering and environmental science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Mazálek, Antonín
  • Ondryhal, Vojtěch
  • Plátěnka, Václav
  • Vránová, Zuzana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS Press
https://schema.org/isbn
  • 978-1-61804-046-6
http://localhost/t...ganizacniJednotka
  • G43
is http://linked.open...avai/riv/vysledek of
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software