Joint-2D-SL0 Algorithm for Joint Sparse Matrix Reconstruction

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/ijap/volume-2017/6862852/figures/6862852.fig.002a.svgz" name="6862852.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Grid number of DOD and DOA both set to be 60</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/ijap/volume-2017/6862852/figures/6862852.fig.002b.svgz" name="6862852.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The number of transmitter and receiver array elements both set to be 20</td></tr></table>

<div>Runtime comparison of algorithm.</div>

International Journal of Antennas and Propagation

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Figure 2

Figure 2: Joint-2D-SL0 Algorithm for Joint Sparse Matrix Reconstruction 