Biologically inspired informatics; algorithm for discrete data and signal processing

Author

Piros, S.J. ; Korondi, Peter

Author_Institution

Dept. of Mechatron., Budapest Univ. of Technol. & Econ., Budapest, Hungary

fYear

2011

fDate

3-7 July 2011

Firstpage

972

Lastpage

977

Abstract

Authors have developed an algorithm to compress logical dataset for storage and transmission purposes [1]. This paper extends the algorithm to work with discrete data sets. This algorithm could provide an economical way for handling a correlated or highly correlated discrete or quantized analog data set or signal. The mean of this algorithm is a special binary tree structure, inspired by developmental biology, the way, how a multicellular organism develops from a single cell. This observed natural process is an inverse transformation so on this base is possible to prepare a corresponding wavelet transformation method.

Keywords

biocomputing; signal processing; trees (mathematics); wavelet transforms; biologically inspired informatics; developmental biology; discrete data sets; highly correlated discrete data set; multicellular organism; quantized analog data set; signal processing; special binary tree structure; transmission purpose; wavelet transformation method; Finite element methods; Image color analysis; Organisms; Prediction algorithms; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on

Conference_Location

Budapest

ISSN

2159-6247

Print_ISBN

978-1-4577-0838-1

Type

conf

DOI

10.1109/AIM.2011.6027153

Filename

6027153