Abstract: The time (vertical) resolution enhancement of ground-penetrating radar (GPR) data by deconvolution is a long-standing problem due to the mixed-phase characteristics of the source wavelet.

Abstract: In image deconvolution problems, the diagonalization of the underlying operators by means of the fast Fourier transform (FFT) usually yields very large speedups. When there are incomplete ...

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 ...

With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different ...

Traceback (most recent call last): File "Codes/Deconvolution/DestVI_pipeline.py", line 52, in <module> scvi.data.setup_anndata(sc_adata, layer="counts", labels_key ...

Deconvolution reverses the convolution process, enhancing image intensity estimates. It acts as an upsampling procedure, preserving connectivity patterns in feature maps. Convolution is a fundamental ...

TeRNAdecov is a package for deconvolution of bulk RNA-seq samples from time series using single-cell datasets. It allows for simultaneous inference of sample-specific composition as well as overall ...