Here, several values of q are investigated in inverse problems, using q < 1 and q > 1. Two standard regularization techniques are recovered for special q-values: (i) q = 2 is the well known Tikhonov ...

To achieve the intended objective, the initial step involves the utilization of the distorted Born iterative technique, employing a suitable initial guess, and a proper generalized Tikhonov ...

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Shanghai Medical Instrumentation College, Shanghai, China. Shanghai Medical Instrumentation College, Shanghai, China The Laboratory of Medical Imaging Engineering, University of Shanghai for Science ...

the detection signal and the boundary conditions of the sensor. The linear method based on Tikhonov regularization [67] is generally considered in image reconstruction, which can be implemented by ...

This paper introduces the potential of intelligent Bayesian regularization backpropagation neuro computing (IBRBNC) for the precise estimation of state features of underwater passive object. The ...

Pore size distributions were calculated using nonlocalized density functional theory (NLDFT) with Tikhonov regularization, assuming slit-shaped pores in the material. All calculations were carried out ...

In this paper, we propose a novel SSDA learning framework called semantic regularization learning (SERL), which captures the target semantic information from multiple perspectives of regularization ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

One step Gauss-Newton solver (Section 2.3) was employed to reconstruct images. The regularization parameter α used in Equation (5) was determined heuristically to get the best performance. This ...

Correspondence to Professor Maria A Rocca, Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano 20132, Italy; rocca.mara{at}hsr.it PRLs are considered relatively ...