461 citations · 2k across the 23 of their papers we have counts for
23 papers
Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition
Uri Goldsztejn, Arye Nehorai
Complications during pregnancy and labor are common and can be especially detrimental in populations with limited access to healthcare. A promising technology to address these comp…
KerGM: Kernelized Graph Matching
Zhen Zhang, Yijian Xiang, Lingfei Wu +2
Graph matching plays a central role in such fields as computer vision, pattern recognition, and bioinformatics. Graph matching problems can be cast as two types of quadratic assign…
Gridless Parameter Estimation for One-Bit MIMO Radar with Time-Varying Thresholds
Feng Xi, Yijian Xiang, Shengyao Chen +1
We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive sensing in the spatial a…
Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data
G. V. Prateek, Yo-El Ju, Arye Nehorai
We address the problem of signal denoising and pattern recognition in processing batch-mode time-series data by combining linear time-invariant filters, orthogonal multiresolution…
Dense Super-Resolution Imaging of Molecular Orientation via Joint Sparse Basis Deconvolution and Spatial Pooling
Hesam Mazidi, Eshan S. King, Oumeng Zhang +2
In single-molecule super-resolution microscopy, engineered point-spread functions (PSFs) are designed to efficiently encode new molecular properties, such as 3D orientation, into c…
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
Lianlin Li, Long Gang Wang, Fernando L. Teixeira +3
Nonlinear electromagnetic (EM) inverse scattering is a quantitative and super-resolution imaging technique, in which more realistic interactions between the internal structure of s…