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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| Online Access: |
Full text (MCPHS users only) |
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| Main Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London : Hoboken, NJ :
ISTE ; Wiley,
2014
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| Series: | Focus nanoscience and nanotechnology series.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
| Summary: | "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 |
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| Physical Description: | 1 online resource (xi, 135 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118908686 1118908686 9781118908778 1118908775 1118908708 9781118908709 |
| Language: | English. |
| Source of Description, Etc. Note: | Online resource; title from PDF title page (Wiley, viewed May 5, 2014). |
