2009Banach Center PublicationsOpen access

Fractal-classic interpolants

M. A. Navascués, María Victoria Sebastián

Open full text 2 citations

Abstract

The methodology of fractal interpolation is very useful for processing experimental signals in order to extract their characteristics of complexity. We go further and prove that the Iterated Function System involved may also be used to obtain new a

Open-access reader

About this research paper

What this paper is about

The methodology of fractal interpolation is very useful for processing experimental signals in order to extract their characteristics of complexity. We go further and prove that the Iterated Function System involved may also be used to obtain new a

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The methodology of fractal interpolation is very useful for processing experimental signals in order to extract their characteristics of complexity. We go further and prove that the Iterated Function System involved may also be used to obtain new a

Key concepts: Iterated function system, Fractal, Interpolation (computer graphics), Iterated function, Computer science, Function (biology), Mathematics, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Fractal-classic interpolants — Research Paper | ScholarLens