On the classification of time series and cross wavelet phase variance
The continuous wavelet transform (CWT) is arguably one of the best tools to explore underlying characteristic features of time series data. Its application in large time series classification experiments, however, has been severely limited due to the large amount of redundant associated information....
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| Format: | Doctoral Thesis |
| Language: | English |
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University of Cape Town
2017
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| Online Access: | http://hdl.handle.net/11427/22869 |