A low-complexity and robust minimum variance beamformer for ultrasound imaging systems using beamspace dominant mode rejection.

Minimum variance beamformer (MVB) has a high computational complexity that is mainly due to the inversion of an L×L covariance matrix involved during weight vector estimation, where L is the length of the subarray. In this work an attempt is made to reduce the computational complexity as well as increase the robustness against signal mismatch. The computational complexity is reduced by projecting the element-space data on to beamspace domain and then using dominant mode rejection on the beamspace covariance matrix (BCM).

A smart phone/tablet based mobile health care system for developing countries.

Increasing cost of health care in developing countries is placing heavy financial burden on its populations. With the advent of mobile and tablet technologies however, it is possible to reduce this burden to some extent through tele-healthcare. In this paper, authors describe their effort to design portable diagnostic devices that can communicate to smart phones and tablets there by making tele-healthcare possible.