ICASSP 2018accepted0 citations
Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM)
Yang Cao, Shixiang Zhu, Yao Xie, Jordan Key, Josh Kacher, Raymond R. Unocic, Christopher M. Rouleau
Abstract
We develop new efficient online algorithms for detecting transient sparse signals in TEM video sequences, by adopting the recently developed framework for sequential detection jointly with online convex optimization [1]. We cast the problem as detecting an unknown sparse mean shift of Gaussian observations, and develop adaptive CUSUM and adaptive SSRS procedures, which are based on likelihood ratio statistics with post-change mean vector being online maximum likelihood estimators with l1. We demonstrate the meritorious performance of our algorithms for TEM imaging using real data.
BibTeX
@inproceedings{icassp2018_sequentialadapti,
title = {Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM)},
author = {Yang Cao and Shixiang Zhu and Yao Xie and Jordan Key and Josh Kacher and Raymond R. Unocic and Christopher M. Rouleau},
booktitle = {ICASSP 2018},
year = {2018}
}