Abstract: Harmonics-to-noise ratio (HNR) is an important health index of rotating machine, which has been applied in blind deconvolution (BD) method to realize periodic impulse detection. However, ...
Abstract: Blind deconvolution is an inverse problem when both the input signal and the convolution kernel are unknown. We propose a convex algorithm based on $\ell _1$-minimization to solve the blind ...
Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...
This study makes a valuable contribution to spatial transcriptomics by rigorously benchmarking cell-type deconvolution methods, assessing their performance across diverse datasets with a focus on ...
A new study describes the best method to improve images obtained by the James Webb Science Telescope (JWST) using a mathematical approach called deconvolution. Mason Leist is working remotely -- 127 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein mass spectrometry imaging (MSI) with electrospray-based ambient ionization ...
This live instructor-led training course provides an introduction to analytical resolution in mass spectrometry, how deconvolution works and the benefits of using deconvolution for processing GC-MS ...
Tissues are constituted of heterogeneous cell types. Although single-cell RNA sequencing has paved the way to a deeper understanding of organismal cellular composition, the high cost and technical ...
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