DocumentCode
1196006
Title
Fractal model of a one-dimensional discrete signal and its implementation
Author
Zhu, X. ; Cheng, B. ; Titterington, D.M.
Author_Institution
Dept. of Stat., Glasgow Univ., UK
Volume
141
Issue
5
fYear
1994
fDate
10/1/1994 12:00:00 AM
Firstpage
318
Lastpage
324
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
Keywords
communication complexity; fractals; iterative methods; signal processing; IFS affine-map parameters; computing complexity; extended iterated-function-system; fractal model; one-dimensional discrete signal; robust technique; signal-to-noise ratio; suboptimal search algorithm;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19941344
Filename
331654
Link To Document