Matches in SemOpenAlex for { <https://semopenalex.org/work/W179610195> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W179610195 endingPage "117" @default.
- W179610195 startingPage "91" @default.
- W179610195 abstract "In this chapter, we will firstly show that the Cyclic Autocorrelation Function (CAF) of a lineary modulated signal is a sparse function in the cyclic frequency domain. Then using this property we propose a new CAF estimator, using compressed sensing technique with the Orthogonal Matching Pursuit (OMP) algorithm. This new proposed estimator outperforms the classic estimator used in [1] under the same conditions, using the same number of samples. Furthermore, since our estimator does not need any information, we claim that it is a blind estimator whereas the estimator of [1] is clearly not blind because it needs the knowledge of the cyclic frequency. Many cases will be analysed: with and without the impact of a propagation channel at the reception. Using this new CAF estimator we propose two blind free bands detectors in the second part of this chapter. The first one is a soft version of the algorithm proposed in [2], that assumes that two estimated CAF of two successive packets of samples, should have close cyclic frequencies. The second one [3] uses Symmetry Property of the Second Order Cyclic Autocorrelation. Both methods outperform the cyclostationnarity detector of Dantawate-Giannakis of [1]. The second method outperforms the first one. Finally we study the complexity of the new proposed detectors and compare it to the complexity of [1]." @default.
- W179610195 created "2016-06-24" @default.
- W179610195 creator A5002196467 @default.
- W179610195 creator A5079623258 @default.
- W179610195 date "2014-01-01" @default.
- W179610195 modified "2023-09-27" @default.
- W179610195 title "New Blind Free-Band Detectors Exploiting Cyclic Autocorrelation Function Sparsity" @default.
- W179610195 cites W1981211887 @default.
- W179610195 cites W2021302824 @default.
- W179610195 cites W2056558085 @default.
- W179610195 cites W2065715415 @default.
- W179610195 cites W2074664043 @default.
- W179610195 cites W2092431085 @default.
- W179610195 cites W2099641086 @default.
- W179610195 cites W2114147096 @default.
- W179610195 cites W2149255982 @default.
- W179610195 cites W2151693816 @default.
- W179610195 cites W2166333319 @default.
- W179610195 doi "https://doi.org/10.1007/978-3-319-01402-9_5" @default.
- W179610195 hasPublicationYear "2014" @default.
- W179610195 type Work @default.
- W179610195 sameAs 179610195 @default.
- W179610195 citedByCount "3" @default.
- W179610195 countsByYear W1796101952014 @default.
- W179610195 countsByYear W1796101952016 @default.
- W179610195 countsByYear W1796101952017 @default.
- W179610195 crossrefType "book-chapter" @default.
- W179610195 hasAuthorship W179610195A5002196467 @default.
- W179610195 hasAuthorship W179610195A5079623258 @default.
- W179610195 hasConcept C105795698 @default.
- W179610195 hasConcept C11413529 @default.
- W179610195 hasConcept C124851039 @default.
- W179610195 hasConcept C127162648 @default.
- W179610195 hasConcept C14036430 @default.
- W179610195 hasConcept C156872377 @default.
- W179610195 hasConcept C165646398 @default.
- W179610195 hasConcept C185429906 @default.
- W179610195 hasConcept C191393472 @default.
- W179610195 hasConcept C33923547 @default.
- W179610195 hasConcept C41008148 @default.
- W179610195 hasConcept C5297727 @default.
- W179610195 hasConcept C76155785 @default.
- W179610195 hasConcept C78458016 @default.
- W179610195 hasConcept C86803240 @default.
- W179610195 hasConcept C94915269 @default.
- W179610195 hasConceptScore W179610195C105795698 @default.
- W179610195 hasConceptScore W179610195C11413529 @default.
- W179610195 hasConceptScore W179610195C124851039 @default.
- W179610195 hasConceptScore W179610195C127162648 @default.
- W179610195 hasConceptScore W179610195C14036430 @default.
- W179610195 hasConceptScore W179610195C156872377 @default.
- W179610195 hasConceptScore W179610195C165646398 @default.
- W179610195 hasConceptScore W179610195C185429906 @default.
- W179610195 hasConceptScore W179610195C191393472 @default.
- W179610195 hasConceptScore W179610195C33923547 @default.
- W179610195 hasConceptScore W179610195C41008148 @default.
- W179610195 hasConceptScore W179610195C5297727 @default.
- W179610195 hasConceptScore W179610195C76155785 @default.
- W179610195 hasConceptScore W179610195C78458016 @default.
- W179610195 hasConceptScore W179610195C86803240 @default.
- W179610195 hasConceptScore W179610195C94915269 @default.
- W179610195 hasLocation W1796101951 @default.
- W179610195 hasLocation W1796101952 @default.
- W179610195 hasLocation W1796101953 @default.
- W179610195 hasOpenAccess W179610195 @default.
- W179610195 hasPrimaryLocation W1796101951 @default.
- W179610195 hasRelatedWork W2117249011 @default.
- W179610195 hasRelatedWork W2155506576 @default.
- W179610195 hasRelatedWork W2371951202 @default.
- W179610195 hasRelatedWork W2378570239 @default.
- W179610195 hasRelatedWork W2380403159 @default.
- W179610195 hasRelatedWork W2551136801 @default.
- W179610195 hasRelatedWork W2910434125 @default.
- W179610195 hasRelatedWork W3083878955 @default.
- W179610195 hasRelatedWork W3199930309 @default.
- W179610195 hasRelatedWork W3209093869 @default.
- W179610195 isParatext "false" @default.
- W179610195 isRetracted "false" @default.
- W179610195 magId "179610195" @default.
- W179610195 workType "book-chapter" @default.