A Signal Recovery Method Based on Bayesian Compressive Sensing

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/7235239/figures/7235239.fig.003a.svgz" name="7235239.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Laboratory</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/7235239/figures/7235239.fig.003b.svgz" name="7235239.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Meeting-Room</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/7235239/figures/7235239.fig.003c.svgz" name="7235239.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>corridor</td></tr></table>

<div>Actual experimental environment diagram.</div>

Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: A Signal Recovery Method Based on Bayesian Compressive Sensing 