UID:
almahu_9948198167402882
Umfang:
1 online resource (xi, 135 pages) :
,
illustrations
ISBN:
9781118908686
,
1118908686
,
9781118908778
,
1118908775
,
1118908708
,
9781118908709
Serie:
FOCUS Series
Inhalt:
"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.
Anmerkung:
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.
,
English.
Weitere Ausg.:
Print version: Moukadem, Ali. Time-frequency domain for segmentation and classification of non-stationary signals. London : ISTE Ltd ; Hoboken, NJ : John Wiley & Sons, Inc., 2014 ISBN 9781848216136
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
;
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118908686
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118908686
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118908686
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