I. Introduction
Several contributions have been made to the topic of advanced post-processing techniques in recent years applied to the evaluation of SAR [1]–[3]. The motivation behind this alternative approach is the exponential increase of measurement time with the increase of number of frequency bands that are required for SAR evaluation for modern communication devices (such as smart phones). Legacy SAR measurement technique (e.g [4]) use a single probe on a robotic arm. E-field is measured using the probe within a phantom filled with liquid representing whole body or part of a body with equivalent electromagnetic characteristics. This invasive approach provides accurate measurement of SAR but takes a lot of human effort and time when evaluating SAR for all the frequency bands that are incorporated in modern smart phones.