Results 111 to 120 of about 25,670 (189)

Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space. [PDF]

Automatica (Oxf), 2023
Yao M, Luczak SE, Rosen IG.
europepmc   +1 more source

Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach. [PDF]

PLoS One, 2021
Campos-Delgado DU, Gutierrez-Navarro O, Salinas-Martinez R, Duran E, Mejia-Rodriguez AR, Velazquez-Duran MJ, Jo JA.   +6 more
europepmc   +1 more source

Blind deconvolution

, 1988
Considering a signal X which is a process of random varia­bles identically independently distributed, and the signal Y obtained by filtering X through a linear system s, we study the estimation of s from the observation of Y in the follo­wing semi-parametric situation : the law of X is unknown and non Gaussian, and s has an inverse of convolution with ...
openaire   +1 more source

Blind Deconvolution Based on Compressed Sensing with bi-l₀-l₂-norm Regularization in Light Microscopy Image. [PDF]

Int J Environ Res Public Health, 2021
Kim K, Kim JY.
europepmc   +1 more source

Complete Blind Subspace Deconvolution [PDF]

, 2009
In this paper we address the blind subspace deconvolution (BSSD) problem; an extension of both the blind source deconvolution (BSD) and the independent subspace analysis (ISA) tasks. While previous works have been focused on the undercomplete case, here we extend the theory to complete systems.
openaire   +2 more sources

Image Deblurring and Effect of Wiener, Regularized, Lucky-Richardson, Blind-Deconvolution, Average and Median Filters on Blurred Image and Noisy Image

Tikrit Journal of Engineering Sciences, 2014
In image deblurring, we try to recover the original, sharp image by using a mathematical model of the blurring process. There are several techniques to recover the original image, but they could not recover the image exactly.
Shayma Wail Nourildean Mohammed Ismaeel Khalil
doaj  

Revisiting Bayesian Blind Deconvolution

, 2013
This paper has been submitted to JMLR.
Wipf, David, Zhang, Haichao
openaire   +2 more sources

Sparse Blind Deconvolution Using ADMM Methods Based on Asymmetric Structured Prior for UWB Fuze. [PDF]

Sensors (Basel)
Hao S, Pan X, Liang Y, Wu K, Yang B, Huang Z.   +5 more
europepmc   +1 more source

Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample. [PDF]

Sci Rep
Kurimoto S, Inoue T, Aoto H, Ito T, Ito S, Kohmura Y, Yabashi M, Matsuyama S.   +7 more
europepmc   +1 more source

An Optimized Maximum Second-Order Cyclostationary Blind Deconvolution and Bidirectional Long Short-Term Memory Network Model for Rolling Bearing Fault Diagnosis. [PDF]

Sensors (Basel)
Liu J, Deng L, Cao Y, Wen C, Song Z, Liu M, Cui X.   +6 more
europepmc   +1 more source