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

• Main Authors: Moukadem, Ali (Author), Abdeslam, Djaffar Ould (Author), Dieterlen, Alain (Author)
• Format: 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.; Information technology.; COMPUTERS > Programming > General.; COMPUTERS > Programming > Software Development.; Electronic books.
• Physical Description: 1 online resource (xi, 135 pages) : illustrations.
• Bibliography: Includes bibliographical references and index.
• ISBN: 9781118908686; 1118908686; 9781118908778; 1118908775
• DOI: 10.1002/9781118908686

"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.