A Regularised Total Least Squares Approach for 1D Inverse Scattering

نویسندگان

چکیده

We study the inverse scattering problem for a Schrödinger operator related to static wave with variable velocity, using GLM (Gelfand–Levitan–Marchenko) integral equation. assume have noisy data, and we derive stability estimate error of solution equation by showing invertibility between suitable function spaces. To regularise problem, formulate variational total least squares show that, under certain regularity assumptions, optimisation admits minimisers. Finally, compute numerically regularised method in discrete sense.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Regularized total least squares approach for nonconvolutional linear inverse problems

In this correspondence, a solution is developed for the regularized total least squares (RTLS) estimate in linear inverse problems where the linear operator is nonconvolutional. Our approach is based on a Rayleigh quotient (RQ) formulation of the TLS problem, and we accomplish regularization by modifying the RQ function to enforce a smooth solution. A conjugate gradient algorithm is used to min...

متن کامل

A comparison of truncated total least squares with Tikhonov regularization in imaging by ultrasound inverse scattering.

For good image quality using ultrasound inverse scattering, one alternately solves the well-posed forward scattering equation for an estimated total field and the ill-posed inverse scattering equation for the desired object property function. In estimating the total field, error or noise contaminates the coefficients of both matrix and data of the inverse scattering equation. Previous work on i...

متن کامل

Unifying Least Squares, Total Least Squares and Data Least Squares

The standard approaches to solving overdetermined linear systems Ax ≈ b construct minimal corrections to the vector b and/or the matrix A such that the corrected system is compatible. In ordinary least squares (LS) the correction is restricted to b, while in data least squares (DLS) it is restricted to A. In scaled total least squares (Scaled TLS) [15], corrections to both b and A are allowed, ...

متن کامل

Total Least Squares Approach in Regression Methods

Total least squares (TLS) is a data modelling technique which can be used for many types of statistical analysis, e.g. a regression. In the regression setup, both dependent and independent variables are considered to be measured with errors. Thereby, the TLS approach in statistics is sometimes called an errors-invariables (EIV) modelling and, moreover, this type of regression is usually known a...

متن کامل

GLOBAL TOTAL LEAST SQUARES Global Total Least Squares

A method for the construction of open approximate models from vector time series Preface PhD research is a largely open proces in which a stimulating environment plays a crucial role. I am indebted to several people and institutions that shaped such an environment for me during the years since April 1990. First and for all, I would like to thank my supervisor, Christiaan Heij. He set me on the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics

سال: 2022

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math10020216