Add to ORKGA study regarding the use of the truncated singular value decomposition (TSVD) for the solution of inverse microwave radiometry problem is presented and discussed by means of a set of examples
In this paper, a new methodology based on the exponential filtering of singular values is adopted to...
We develop a new regularization method for quantitative microwave tomography, based on a discontinu...
A two-dimensional truncated singular value decomposition (TSVD) technique is proposed to enhance spa...
In this paper we present a new approach to ameliorate the spatial resolution of microwave radiomete...
In this paper a sensitivity study of the truncated singular value decomposition (TSVD) for spatial r...
A reconstruction technique, based on the two-dimensional truncated singular value decomposition (TSV...
A reconstruction technique based on the two-dimensional truncated singular value decomposition (TSVD...
In this paper we present a new numerical procedure to enhance the spatial resolution of microwave ra...
Abstract—A variety of methods have been applied to the inverse scattering problem for breast imaging...
Abstract. Truncated singular value decomposition (TSVD) is a popular method for solving linear discr...
International audienceThis paper is devoted to a theoretical and numerical study of different ways o...
In the solution of ill-posed problems by means of regularization methods, a crucial issue is the com...
Microwave tomography is a promising method for the breast cancer imaging. Dielectric properties of t...
Two different techniques, to enhance the spatial resolution of two-dimensional radiometer data, are ...
Inverse Probleme werden kurz charakterisiert und typische Schwierigkeiten bei der Auswertung aufgeno...
In this paper, a new methodology based on the exponential filtering of singular values is adopted to...
We develop a new regularization method for quantitative microwave tomography, based on a discontinu...
A two-dimensional truncated singular value decomposition (TSVD) technique is proposed to enhance spa...
In this paper we present a new approach to ameliorate the spatial resolution of microwave radiomete...
In this paper a sensitivity study of the truncated singular value decomposition (TSVD) for spatial r...
A reconstruction technique, based on the two-dimensional truncated singular value decomposition (TSV...
A reconstruction technique based on the two-dimensional truncated singular value decomposition (TSVD...
In this paper we present a new numerical procedure to enhance the spatial resolution of microwave ra...
Abstract—A variety of methods have been applied to the inverse scattering problem for breast imaging...
Abstract. Truncated singular value decomposition (TSVD) is a popular method for solving linear discr...
International audienceThis paper is devoted to a theoretical and numerical study of different ways o...
In the solution of ill-posed problems by means of regularization methods, a crucial issue is the com...
Microwave tomography is a promising method for the breast cancer imaging. Dielectric properties of t...
Two different techniques, to enhance the spatial resolution of two-dimensional radiometer data, are ...
Inverse Probleme werden kurz charakterisiert und typische Schwierigkeiten bei der Auswertung aufgeno...
In this paper, a new methodology based on the exponential filtering of singular values is adopted to...
We develop a new regularization method for quantitative microwave tomography, based on a discontinu...
A two-dimensional truncated singular value decomposition (TSVD) technique is proposed to enhance spa...