Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Method </td><td class="align_center">Samples</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Raw signal </td><td class="align_center">128 for all nodes </td></tr><tr><td class="align_left">RCSJoR </td><td class="align_center">32 for all nodes </td></tr><tr><td class="align_left">RCSCoR </td><td class="align_center">64 for ref node, 16 for others</td></tr><tr><td class="align_left">1bSCoR </td><td class="align_center">178 bits for ref node, 64 bits for others</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Measurement number settings for reconstruction.

Mathematical Problems in Engineering

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Table 1

Table 1: Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network 