Your browser doesn't support javascript.
loading
Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen's, Affine, and Reassigned Classes.
Bacnar, David; Saulig, Nicoletta; Petrijevcanin Vuksanovic, Irena; Lerga, Jonatan.
Afiliación
  • Bacnar D; Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.
  • Saulig N; Department of Engineering, Juraj Dobrila University of Pula, Zagrebacka 30, 52100 Pula, Croatia.
  • Petrijevcanin Vuksanovic I; Ministry of the Interior, 10000 Zagreb, Croatia.
  • Lerga J; Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia.
Sensors (Basel) ; 22(10)2022 May 13.
Article en En | MEDLINE | ID: mdl-35632131
This paper explores three groups of time-frequency distributions: the Cohen's, affine, and reassigned classes of time-frequency representations (TFRs). This study provides detailed insight into the theory behind the selected TFRs belonging to these classes. Extensive numerical simulations were performed with examples that illustrate the behavior of the analyzed TFR classes in the joint time-frequency domain. The methods were applied both on synthetic and real-life non-stationary signals. The obtained results were assessed with respect to time-frequency concentration (measured by the Rényi entropy), instantaneous frequency (IF) estimation accuracy, cross-term presence in the TFRs, and the computational cost of the TFRs. This study gives valuable insight into the advantages and limitations of the analyzed TFRs and assists in selecting the proper distribution when analyzing given non-stationary signals in the time-frequency domain.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Croacia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Croacia Pais de publicación: Suiza