Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals /

"Focuses on signal processing algorithms based on the time frequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Moukadem, Ali (Autor), Abdeslam, Djaffar Ould (Autor), Dieterlen, Alain (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken, NJ : ISTE ; Wiley, 2014.
Colección:Focus nanoscience and nanotechnology series.
Temas:
Signal processing > Digital techniques > Data processing.
Software engineering.
Signal processing > Digital techniques.
Signal processing > Mathematics.
Traitement du signal > Techniques numériques.
Traitement du signal > Mathématiques.
Traitement du signal > Techniques numériques > Informatique.
Génie logiciel.
COMPUTERS > Programming > General.
COMPUTERS > Programming > Software Development.
Signal processing > Digital techniques
Signal processing > Digital techniques > Data processing
Software engineering
Acceso en línea:Texto completo
Tabla de Contenidos:
  • The Need for Time-Frequency Analysis / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen
  • Time-Frequency Analysis:The S-Transform / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen
  • Segmentation and Classification of Heart Sounds Based on the S-Transform / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen
  • Adaline for the Detection of Electrical Events in Electrical Signals / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen
  • FPGA Implementation of the Adaline / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen.

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