The solving of the ill- posed inverse problem for spectral line shapes or problem of reduction to the ideal spectral device is discussed in this paper. Two different methods were used to determine the real spectral line profile and to separate the instrument function: i) solving the ill-posed inverse problem by means of the Tikhonov’s regularization method; and ii) the mathematical modelling by means of a non-linear multiparameter chi-square fit. The solution of the inverse problem by the Tikhonov’s regularization method was implemented using program written in Delphi. The results of the test and statistical modelling of this program were presented. The mathematical modelling for the estimation the true profile and fitting the modelled line...
This communication presents a method that performs a nonlinear least-squares-fitting procedure that ...
A technique is presented in which the spectral response of a wide-band infrared measuring instrument...
In this chapter we present the basic concepts of numerical regularization theory. We analyze direct ...
Calculation of the real spectral line shape by solving the ill-posed inverse proble
Computer-supported techniques are introduced in the evaluation of experimental data and obtaining th...
General principles for solving ill-posed inverse problems in applied spectroscopy were considered an...
In this thesis, we study the problem of recovering signals, in particular images, that approximately...
Summary. In the study of stationary processes on the real line, the spectral den-sity function is a ...
This thesis is a contribution to the field of ill-posed inverse problems . During the last ten year...
Inverse problems arise in many applications in science and engineering. They are characterized by th...
An important inverse problem in the field of acoustics is that of reconstructing the strengths of a ...
The paper describes current methods of treatment and interpretation of experimental data in applied ...
The inversion of an ill-conditioned matrix of measured data lies at the heart of procedures for the ...
Inverse problems are usually ill-posed, and therefore affected by the noise which is al-ways present...
Abstract—Ill-posed inverse problem is commonly existed in signal processing such as image reconstruc...
This communication presents a method that performs a nonlinear least-squares-fitting procedure that ...
A technique is presented in which the spectral response of a wide-band infrared measuring instrument...
In this chapter we present the basic concepts of numerical regularization theory. We analyze direct ...
Calculation of the real spectral line shape by solving the ill-posed inverse proble
Computer-supported techniques are introduced in the evaluation of experimental data and obtaining th...
General principles for solving ill-posed inverse problems in applied spectroscopy were considered an...
In this thesis, we study the problem of recovering signals, in particular images, that approximately...
Summary. In the study of stationary processes on the real line, the spectral den-sity function is a ...
This thesis is a contribution to the field of ill-posed inverse problems . During the last ten year...
Inverse problems arise in many applications in science and engineering. They are characterized by th...
An important inverse problem in the field of acoustics is that of reconstructing the strengths of a ...
The paper describes current methods of treatment and interpretation of experimental data in applied ...
The inversion of an ill-conditioned matrix of measured data lies at the heart of procedures for the ...
Inverse problems are usually ill-posed, and therefore affected by the noise which is al-ways present...
Abstract—Ill-posed inverse problem is commonly existed in signal processing such as image reconstruc...
This communication presents a method that performs a nonlinear least-squares-fitting procedure that ...
A technique is presented in which the spectral response of a wide-band infrared measuring instrument...
In this chapter we present the basic concepts of numerical regularization theory. We analyze direct ...