Using Time Deformation to Filter Nonstationary Time Series with Multiple Time-Frequency Structures

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="569597.fig.003a" src="https://static.hindawi.com/articles/jps/volume-2013/569597/figures/569597.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>  Recovered low frequency TVF signal</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="569597.fig.003b" src="https://static.hindawi.com/articles/jps/volume-2013/569597/figures/569597.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Recovered high frequency TVF signal</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="569597.fig.003c" src="https://static.hindawi.com/articles/jps/volume-2013/569597/figures/569597.fig.003c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Wigner-Ville plot for (a)</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="569597.fig.003d" src="https://static.hindawi.com/articles/jps/volume-2013/569597/figures/569597.fig.003d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>Wigner-Ville plot for (b)</td></tr></table></td></tr></table>

<table> (a) Recovered low frequency TVF component; (b) recovered high frequency TVF component; (c) Wigner-Ville plot for (a); (d) Wigner-Ville plot for (b).</table>

Journal of Probability and Statistics

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Figure 3

Figure 3: Using Time Deformation to Filter Nonstationary Time Series with Multiple Time-Frequency Structures 