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

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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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Authors: Moukadem, Ali (Author), Abdeslam, Djaffar Ould (Author), Dieterlen, Alain (Author)
Format: Electronic eBook
Language:English
Published: London : Hoboken, NJ : ISTE ; Wiley, 2014
Series:Focus nanoscience and nanotechnology series.
Subjects:
Signal processing > Digital techniques > Data processing.
Software engineering.
Signal processing > Digital techniques.
Signal processing > Mathematics.
Local Note:ProQuest Ebook Central
Table of Contents:
  • 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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