Adaptive iterative filtering methods for nonlinear signal analysis and applications
Time-frequency analysis for non-linear and non-stationary signals is extraordinarily challenging. To capture the changes in these types of signals, it is necessary for the analysis methods to be local, adaptive and stable. In recent years, decomposition based analysis methods were developed by diffe...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1853/52169 |