Modern Regularisation Techniques in Data Analysis for Space Plasma Observations

Beloff, N and Denisenko, P F (2006) Modern Regularisation Techniques in Data Analysis for Space Plasma Observations. Advances in Space Research, 38 (1). pp. 2-6. ISSN 0273-1177

Full text not available from this repository.

Abstract

This paper is aimed to summarize the main philosophy of the Regularisation technique for inverse problems in space plasma observations. This unified approach is based around a general criterion for the Regularisation parameter selection. This approach was tested on various space plasma observation problems. It is demonstrated that for these problems a deviation is necessary from the traditional Least Squares Method in favour of the Regularisation technique. Particular problems were considered in more details in other publications by the authors. However, this paper is a first attempt to emphasize mathematical peculiarities of the Regularisation approach in space plasma observations in a general manner in order to provide a useful and versatile schema for the wide range of space plasma problems.

Item Type: Article
Additional Information: This paper is aimed to summarize the main philosophy of the Regularisation technique for inverse problems in space plasma observations. This unified approach is based around a general criterion for the Regularisation parameter selection. This approach was tested on various space plasma observation problems. This paper is a first attempt to emphasize mathematical peculiarities of the Regularisation approach in space plasma observations in a general manner in order to provide a useful and versatile schema for the wide range of space plasma problems.
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Natalia Beloff
Date Deposited: 06 Feb 2012 19:31
Last Modified: 28 Mar 2012 11:18
URI: http://sro.sussex.ac.uk/id/eprint/21081
📧 Request an update