Temperature Distribution Monitoring Using Ultrasonic Thermometry Based on Markov Radial Basis Function Approximation and Singular Values Decomposition

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="835619.fig.006a" src="https://static.hindawi.com/articles/mpe/volume-2014/835619/figures/835619.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Model</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="835619.fig.006b" src="https://static.hindawi.com/articles/mpe/volume-2014/835619/figures/835619.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Reconstructed one without noise</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="835619.fig.006c" src="https://static.hindawi.com/articles/mpe/volume-2014/835619/figures/835619.fig.006c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Reconstructed one with Gaussian noise</td></tr></table></td></tr></table>

<table>The comparison of experiment results of one-peak asymmetrical temperature distribution.</table>

Mathematical Problems in Engineering

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Figure 6

Figure 6: Temperature Distribution Monitoring Using Ultrasonic Thermometry Based on Markov Radial Basis Function Approximation and Singular Values Decomposition 

Figure 6 | Temperature Distribution Monitoring Using Ultrasonic Thermometry Based on Markov Radial Basis Function Approximation and Singular Values Decomposition 