"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, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers."--Provided by publisher. �Read more...
Abstract:
This book focuses on signal processing algorithms based on the timefrequency 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. �Read more...
Author(s): Abdeslam, Djaffar Ould; Dieterlen, Alain; Moukadem, Ali
Series: Focus nanoscience and nanotechnology series
Edition: 1
Publisher: Wiley-ISTE
Year: 2014
Language: English
Pages: 135
Tags: Приборостроение;Обработка сигналов;
Content: 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.
