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Fractal Model of a one-Dimensional Discrete Signal and its Implementation

Zhu, X., Cheng, B., Titterington, D.M. (1994) Fractal Model of a one-Dimensional Discrete Signal and its Implementation. IEE Proceedings: Vision Image and Signal Processing, 141 (5). pp. 318-324. ISSN 1350-245X. (doi:10.1049/ip-vis:19941344) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:20127)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1049/ip-vis:19941344

Abstract

An extended iterated-function-system (IFS) interpolation method is presented for modelling for a given discrete signal. To reduce the computing complexity a suboptimal search algorithm with a robust technique for estimating the IFS affine-map parameters is introduced. Simulation results show that the IFS approach achieves a higher signal-to-noise ratio than does an existing approach based on autoregressive modelling.

Item Type: Article
DOI/Identification number: 10.1049/ip-vis:19941344
Uncontrolled keywords: SIGNAL PROCESSING; IFS THEORY; SUBOPTIMAL SEARCH ALGORITHMS; FRACTAL INTERPOLATION; AFFINE TRANSFORMATION PARAMETERS
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: P. Ogbuji
Date Deposited: 09 Jun 2009 10:24 UTC
Last Modified: 16 Nov 2021 09:58 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/20127 (The current URI for this page, for reference purposes)

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