Results 81 to 90 of about 143,672 (309)
Blind deconvolution and structured matrix computations with applications to array imaging
, 2017 © 2007 by Taylor & Francis Group, LLC. In this chapter, we study using total least squares (TLS) methods for solving blind deconvolution problems arising in image recovery.
Ng, Michael K., Plemmons, Robert J.
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MaGSoundDST-3D automatic inversion of magnetic and gravity data based on the differential similarity transform [PDF]
, 2010 We present an automatic procedure - Magnetic And Gravity SOUNDing Differential Similarity Transform (MaGSoundDST) - for inversion of regular or irregular magnetic- and gravity-grid data measured on even or uneven surfaces.
Arauzo-Bravo, Marcos J. +3 more
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Advanced Engineering Materials, EarlyView.Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
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Advanced Functional Materials, EarlyView.Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
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Nuevas técnicas de deconvolución dispersa robusta [PDF]
, 2007 La deconvolución dispersa consiste en estimar una señal de reducido número de muestras no nulas a partir de un conjunto de observaciones ruidosas, que se suponen originadas por la convolución entre una señal de aspecto impulsivo y la respuesta al ...
Martínez Cruz, Carlos Eugenio
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IEEE Transactions on Signal Processing, 2019 We introduce a novel multichannel blind deconvolution (BD) method that extracts sparse and front-loaded impulse responses from the channel outputs, i.e., their convolutions with a single arbitrary source. A crucial feature of this formulation is that it doesn't encode support restrictions on the unknowns, unlike most prior work on BD. The indeterminacy
Pawan Bharadwaj +2 more
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Deconvolution Estimation in Measurement Error Models: The R Package decon [PDF]
Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors in variables are two important topics in measurement error models.
Bin Wang, Xiao-Feng Wang
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Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring
Advanced Functional Materials, EarlyView.This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha +11 more
wiley +1 more source
Nonparametric confidence bands in deconvolution density estimation [PDF]
Uniform confidence bands for densities f via nonparametric kernel estimates were first constructed by Bickel and Rosenblatt [Ann. Statist. 1, 1071.1095].
Bissantz, Nicolai +3 more
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Intensity estimation of non-homogeneous Poisson processes from shifted trajectories [PDF]
, 2013 In this paper, we consider the problem of estimating nonparametrically a mean pattern intensity λ from the observation of n independent and non-homogeneous Poisson processes N1,…,Nn on the interval [0,1].
Marteau, Clément +3 more
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