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A wavelet based compressive sensing technique for head imaging is presented. The non-sparsity of the dielectric profile of the human head brings about difficulties when applying traditional compressive sensing technique to image the profile of the head. In this paper, the wavelet transform is implemented to convert the non-sparse profile into a sparse domain then a compressive sensing framework named...
An optimization-based confocal algorithm for microwave imaging aimed at medical applications is presented. Due to complexity of human body tissues, microwave signals that enter a human organ from different angles and are reflected at different depths inside that organ face different effective dielectric constants. An accurate estimation of those dielectric constants is vital for an accurate estimation...
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