Results 111 to 120 of about 25,862 (211)

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

Construction of Noise Reduction and Sound Quality Optimization Model for Music Transmission Signals Based on Deep Learning

Engineering Reports, Volume 8, Issue 5, May 2026.
The study collects typical music samples and multiple types of noise data, preprocesses the signals using time‐frequency domain feature extraction methods, and on this basis designs a deep neural network structure that integrates convolutional neural networks and perception optimization mechanisms.
Chao Jiang, Junfang Liang
wiley   +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

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, Volume 41, Issue 3, Page 437-448, May 2026.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source

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  

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

The MICOS Complex Regulates Mitochondrial Structure and Oxidative Stress During Age‐Dependent Structural Deficits in the Kidney

Aging Cell, Volume 25, Issue 5, May 2026.
During kidney aging, loss of the MICOS complex drives cristae disorganization, impairs oxidative capacity, and alters mitochondrial dynamics. MICOS disruption elevates mitochondrial ROS and disrupts calcium homeostasis, linking mitochondrial structural remodeling to metabolic dysfunction in aging kidney tissue.
Prasanna Katti, Praveena Prasad, Sepiso K. Masenga, Prasanna Venkhatesh, Zer Vue, Andrea G. Marshall, Benjamin Rodriguez, Han Le, Edgar Garza‐Lopez, Alexandria Murphy, Brenita Jenkins, Ashlesha Kadam, Jianqiang Shao, Amber Crabtree, Pamela Martin, Chantell Evans, Mark A. Phillips, David Hubert, Nelson Wandira, Okwute M. Ochayi, Dhanendra Tomar, Clintoria R. Williams, Jennifer Gaddy, Briar Tomeau, LaCara Bell, Taneisha Gillyard, Markis' Hamilton, Vineeta Sharma, Mohd Mabood Khan, Elma Zaganjor, Olujimi A. Ajijola, Estevão Scudese, Tyne W. Miller Fleming, André Kinder, Chandravanu Dash, Anita M. Quintana, Bret C. Mobley, Julia D. Berry, Pooja Jadiya, Dao‐Fu Dai, Annet Kirabo, Oleg Kovtun, Jenny C. Schafer, Sean Schaffer, Renata Oliveira Pereira, Debra D. Murray, Joyonna Gamble‐George, Melanie R. McReynolds, Antentor Hinton Jr   +48 more
wiley   +1 more source

Neural blind deconvolution to reconstruct high-resolution ground-based solar observations

Astronomy & Astrophysics
Context. Ground-based solar observations enable unprecedented spatial, spectral, and temporal resolution of the lower solar atmosphere, yet Earth’s turbulent atmosphere imposes significant limitations, requiring advanced post facto image reconstruction ...
Schirninger C., Jarolim R., Veronig A. M., Rempel M., Wöger F.   +4 more
doaj   +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

Revisiting Bayesian Blind Deconvolution

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