Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1486448 | Journal of Non-Crystalline Solids | 2005 | 6 Pages |
Abstract
The origins, philosophy and basic practical aspects are considered for an approach of digital data transformations for broadband dielectric relaxation spectroscopy and other relaxation experiments carrying out direct and inverse integral transforms with kernels depending on the ratio or product of arguments. The approach is based on the concept that the mentioned data transformations represent a filtering problem on a logarithmic scale allowing one to implement the transforms by digital functional filters with the logarithmic sampling. As an example, digital Kramers–Kronig transformers are considered.
Related Topics
Physical Sciences and Engineering
Materials Science
Ceramics and Composites
Authors
Vairis Shtrauss,