Deconvolution-algorithms-for-3D-quantitative-Raman-microspectroscopy Here are some of the machine learning algorithms, data augmentation and validation (cross-validation) Python scripts that I ...

This repository is a reproducibility study of Network Deconvolution; the original work proposed by Ye et al. (2020). This reproducibility study is conducted to evaluate the ability to reproduce the ...

We deal with reconstruction of convolved images with known point spread functions. We adopt a feature enhanced deconvolution method. Instead of using a pre-designed sparsifying transform, we use an ...

ABSTRACT This article reviews different deconvolution methods. The all‐pervasive presence of noise is what makes deconvolution particularly difficult. The diversity of resulting algorithms reflects ...

Li Guangwei, Zhang Haotong, Bai Zhongrui, A Practical Deconvolution Computation Algorithm to Extract 1D Spectra from 2D Images of Optical Fiber Spectroscopy, Publications of the Astronomical Society ...

This paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band radar data ...