Parallel distributed scheme for stochastic coding of self-similar patterns

Author

Kamejima, Kohji

Author_Institution

Osaka Inst. of Technol., Japan

fYear

1997

fDate

17-21 Mar 1997

Firstpage

192

Lastpage

199

Abstract

A parallel distributed scheme is presented for coding random patterns generated via iteration of contraction mappings. The scheme is implemented by a decentralized computational process on a distributed parameter system. The distributed parameter system generates a representation of missing probability for attractor as the basis of design of contraction mappings. The local minimals of missing probability is extracted and aggregated as the decentralized representation of contraction mappings. The coding scheme is verified through computer simulation

Keywords

distributed parameter systems; feature extraction; image coding; parallel programming; probability; stochastic processes; attractor; computer simulation; contraction mapping iteration; contraction mappings; decentralized computational process; decentralized representation; distributed parameter system; local minimals; missing probability extraction; missing probability representation; parallel distributed scheme; random patterns; self similar pattern coding; stochastic coding; Computer simulation; Data mining; Distributed computing; Distributed parameter systems; Explosions; Fractals; Image analysis; Image generation; Optical imaging; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Algorithms/Architecture Synthesis, 1997. Proceedings., Second Aizu International Symposium

Conference_Location

Aizu-Wakamatsu

Print_ISBN

0-8186-7870-4

Type

conf

DOI

10.1109/AISPAS.1997.581659

Filename

581659