Time-domain multiscale shape identification in electro-sensing
Numerical Analysis
2014-09-15 v1 Computer Vision and Pattern Recognition
Abstract
This paper presents premier and innovative time-domain multi-scale method for shape identification in electro-sensing using pulse-type signals. The method is based on transform-invariant shape descriptors computed from filtered polarization tensors at multi-scales. The proposed algorithm enjoys a remarkable noise robustness even with far-field measurements at very limited angle of view. It opens a door for pulsed imaging using echolocation and induction data.
Keywords
Cite
@article{arxiv.1409.3714,
title = {Time-domain multiscale shape identification in electro-sensing},
author = {Habib Ammari and Han Wang},
journal= {arXiv preprint arXiv:1409.3714},
year = {2014}
}