Predictive algorithms in dynamical sampling for burst-like forcing terms, (with L. Huang, K. Kornelson, and I. Krishtal), Applied and Computational Harmonic Analysis Vol. 65, 322-347, 2023.
Dynamical Sampling for the Recovery of Spatially Constant Source Terms in Dynamical Systems, (with Rocio Diaz Martin, Ivan Medri), arXiv:2308.01462, 2023
Recovery of rapidly decaying source terms from dynamical samples in evolution equations, (with L. Gong and I. Krishtal), Sampl. Theory Signal Process. Data Anal. Vol. 21, 15 2023.
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification, (with S. Thareja, R. Dias-Martin, I. Medri, and G. Rohde), Foundations of Data Science, Vol. 4,1,137–163, 2022.
Partitioning signal classes using transport transforms for data analysis and machine learning, (with G. Rohde and S. Li), Sampling Theory, Signal Processing, and Data Analysis, Vol. 19, 6, 2021.
Radon cumulative distribution transform subspace modeling for image classification, (with M. Shifat-E-Rabbi, X. Yin, A.H.M. Rubaiyat, S. Li, S. Kolouri, J. Nichols, and G. Rohde), Journal of mathematical Imaging and Vision, J. Mathematical Imaging and Vision 63, 1185-1203, 2021.
Sampling the flow of a bandlimited function, (with K. Groechenig, L. Huang, P. Jaming, I. Krishtal, L. Romero), The Journal of Geometric Analysis, Vol. 31, 9241--9275, 2021.
Phaseless Reconstruction from Space-Time Samples, (with Ilya Krishtal and Sui Tang), ACHA, Vol. 48, 395--414, 2020.