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

Zhu, X. and Cheng, B. and 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. (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)

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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
Uncontrolled keywords: SIGNAL PROCESSING; IFS THEORY; SUBOPTIMAL SEARCH ALGORITHMS; FRACTAL INTERPOLATION; AFFINE TRANSFORMATION PARAMETERS
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: P. Ogbuji
Date Deposited: 09 Jun 2009 10:24
Last Modified: 18 Jul 2014 10:21
Resource URI: https://kar.kent.ac.uk/id/eprint/20127 (The current URI for this page, for reference purposes)
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