Intelligent Feature Selection Techniques for Pattern Classification of Time-Domain Signals
Time-domain signals form the basis of analysis for a variety of applications, including those involving variable conditions or physical changes that result in degraded signal quality. Typical approaches to signal analysis fail under these conditions, as these types of changes often lie outside the s...
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| Format: | Others |
| Language: | English |
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W&M ScholarWorks
2013
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| Online Access: | https://scholarworks.wm.edu/etd/1539623620 https://scholarworks.wm.edu/cgi/viewcontent.cgi?article=3411&context=etd |