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Non parametric estimation deconvolution

Blind Deconvolution of Medical Ultrasound Images Using a Parametric Model for the Point Spread Function

Blind Deconvolution of Medical Ultrasound Images Using a Parametric Model for the Point Spread Function

... the estimation of the PSF in a pre-processing step [3,5] or the estimation of the PSF and the TRF simultaneously [6, ...a parametric model for the PSF of the form of a modulated 2D Gaussian function ...

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Blind Deconvolution of Medical Ultrasound Images Using a Parametric Model for the Point Spread Function

Blind Deconvolution of Medical Ultrasound Images Using a Parametric Model for the Point Spread Function

... the estimation of the PSF in a pre-processing step [3,5] or the estimation of the PSF and the TRF simultaneously [6, ...a parametric model for the PSF of the form of a modulated 2D Gaussian function ...

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Parametric Blind Deconvolution for Confocal Laser Scanning Microscopy (CLSM)-Proof of Concept

Parametric Blind Deconvolution for Confocal Laser Scanning Microscopy (CLSM)-Proof of Concept

... with parametric estimation of the acquisition sys- tem’s Point Spread Function ...on deconvolution. An efficient method for parametric blind im- age deconvolution involves the ...

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Joint Bayesian Deconvolution And Point Spread  Function Estimation For Ultrasound Imaging

Joint Bayesian Deconvolution And Point Spread Function Estimation For Ultrasound Imaging

... better deconvolution results than the EM algo- rithm of ...joint estimation of the image and PSF can be improved or not when compared to the case where the PSF is es- timated in a preprocessing ...

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Joint Bayesian Deconvolution And Point Spread  Function Estimation For Ultrasound Imaging

Joint Bayesian Deconvolution And Point Spread Function Estimation For Ultrasound Imaging

... better deconvolution results than the EM algo- rithm of ...joint estimation of the image and PSF can be improved or not when compared to the case where the PSF is es- timated in a preprocessing ...

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Smooth sigmoid wavelet shrinkage for non-parametric estimation

Smooth sigmoid wavelet shrinkage for non-parametric estimation

... (5) by setting θ = π/6 and θ = π/4 respectively. This table shows that SSBS outperforms standard shrinkages. In addition, the per- formance measurements presented in table 1 suggest comparing the ...

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Protecting Assets Under Non-Parametric Market Conditions

Protecting Assets Under Non-Parametric Market Conditions

... Charles Pahud de Mortanges** June 30, 2015. Summary Under non-parametric market conditions, investors usually become more concerned about the return of their money than about the return on their money. ...

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From non parametric statistics to speech denoising

From non parametric statistics to speech denoising

... is non-parametric in the sense that it makes no as- sumption about the probability distributions of the signals and assumes neither that these signals are identically dis- tributed nor that they have equal ...

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Non-parametric synthesis of laminar volumetric texture

Non-parametric synthesis of laminar volumetric texture

... Figure 1: The general schema: obtaining the HRTEM-like snapshots of dense carbons and generating a 3D representation from a single 2D sample. In the present article, we evaluate various implementations of ...

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Contrast estimation for parametric stationary determinantal point processes

Contrast estimation for parametric stationary determinantal point processes

... n→+∞ N(0, Σρ 0 ,θ 0 ). 5 Appendix 5.1 A general result for minimum contrast estimation We present in this section two general theorems concerning the consistency and asymptotic normality of the estimator defined ...

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Hybrid parametric/non-parametric models for lifespan modeling of insulation materials

Hybrid parametric/non-parametric models for lifespan modeling of insulation materials

... method. Parametric modelling through multilinear regression requires the estimation of a potentially high number of parameters in view of the reduced data ...combines parametric (multilinear ...

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Estimation of Parametric Models with Conditional Heteroscedastic Errors

Estimation of Parametric Models with Conditional Heteroscedastic Errors

... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ...

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Texture Segmentation via Non-local Non-parametric Active Contours

Texture Segmentation via Non-local Non-parametric Active Contours

... a parametric or non-parametric (using Parzen windows) fashion, see for instance ...fully non-parametric estimator that does not require to compute ...

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Simultaneous semi-parametric estimation of clustering and regression

Simultaneous semi-parametric estimation of clustering and regression

... smoothed log-likelihood with respect to the number of classes leads us to consider K = 3 classes for both losses. We now compare the results obtained by the proposed method with K = 3 classes in a semi-parametric ...

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Diffeomorphic demons: Efficient non-parametric image registration.

Diffeomorphic demons: Efficient non-parametric image registration.

... Our second setup is a more realistic case study were a gold standard is still available. We use synthetic T1 MR images from two different anatomies available from BrainWeb (Aubert-Broche et al., 2006). These datasets are ...

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Parametric and non-parametric models for lifespan modeling of insulation systems in electrical machines

Parametric and non-parametric models for lifespan modeling of insulation systems in electrical machines

... classical parametric models, the life-stress relationship is expressed through original non-parametric and hybrid models that have never been investigated in insulation aging studies ...

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Multidimensional complex number parametric model order and parameters estimation

Multidimensional complex number parametric model order and parameters estimation

... [6] G.J. Bierman, Factorization Methods for Discrete Se- quentiel Estimation , New York Academic, 1977. [7] S. Niu, D. Xiao, and D.G. Fisher, “A recursive algo- rithm for simultaneous identification of model order ...

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Estimation bayésienne non paramétrique

Estimation bayésienne non paramétrique

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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Estimation non paramétrique de la regression

Estimation non paramétrique de la regression

... 2.2 Estimation à noyaux pour la fonction de répartition : ...2.3 Estimation non paramétrique de la densité : ...L’estimation non paramétrique de la régression(Cas reèl) : 19 ...L’estimation ...

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Study Of Spatial Disparities In Algerian Regions: Using A Parametric And Non-parametric Approaches

Study Of Spatial Disparities In Algerian Regions: Using A Parametric And Non-parametric Approaches

... These statistic results lead us to confirm that disparities in Algerian economy are existing from the heterogeneity and independence of error model estimation. Although the significant of explanatory variable ...

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