About a Partial Differential Equation-Based Interpolator for Signal Envelope Computing: Existence Results and Applications

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="605035.fig.007a" src="https://static.hindawi.com/articles/isrn/volume-2013/605035/figures/605035.fig.007a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>  Envelope after 40000 iterations</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="605035.fig.007b" src="https://static.hindawi.com/articles/isrn/volume-2013/605035/figures/605035.fig.007b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Envelope after 400000 iterations</td></tr></table></td></tr></table>

<table>The envelope of the signal test <svg height="12.5375" id="M533" style="vertical-align:-3.27605pt" version="1.1" viewbox="0 0 68.875 12.5375" width="68.875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> sampling with 1024 points.</table>

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Figure 7

Figure 7: About a Partial Differential Equation-Based Interpolator for Signal Envelope Computing: Existence Results and Applications 