Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-
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"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 theclassification method, the Adaline Neural Network is used and compared with other common classifiers."--Provided by publisher.�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 signalssuch as heart sounds and power electric signals.�
LF/584724942/R
Характеристики
- ФИО Автора
- Abdeslam
Alain
Ali
Dieterlen
Djaffar Ould
Moukadem - Язык
- Английский
- Серия
- Focus nanoscience and nanotechnology series
- ISBN
- 9781118908778
- Дата выхода
- 2014
15 книг этого же автора
Товары из этой категории:
"Focuses on signal processing algorithms based on the time frequency domain. Original methods and algorithms are presented which are able to extract informat...