%0 Conference Paper
%A Hamzah, H.I.
%A Bin Abdullah, A.
%D 2010
%F scholars:1052
%K Abstract models; Biologically-inspired; Human auditory system; Human brain; Information gathering; Memory storage; Noise filtering; Sound signal; Structured database, Abstracting; Data processing; Information retrieval; Information technology; Signal processing; Soft computing; Software engineering; Spurious signal noise, Industrial research
%R 10.1109/ITSIM.2010.5561432
%T A soft computing approach for the memory storage of a sound signal processor
%U https://khub.utp.edu.my/scholars/1052/
%V 1
%X This paper tries to create a new biologically-inspired abstract model for the sound signal processing. The abstract model also shows the memory storage for the sound signal processor. This research adapts the functions from the biologically-inspired entities, which are the human auditory system and the human brain. This research aims to provide integrated and structured database to store the sound signal processing data. This research provides the framework to the implementation of the soft computing approach for the memory storage of a sound signal processor. This paper is a preliminary investigation paper. Therefore, this research creates the abstract model for the Biologically- Inspired Sound Signal Analyzer (BISSA) as a new idea for information gathering. © 2010 IEEE.
%Z cited By 0; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915