A soft computing approach for the memory storage of a sound signal processor

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 th...

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Main Authors: Hamzah, Hammuzamer Irwan, Abdullah, Azween
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://repo.uum.edu.my/16483/1/05.pdf
http://repo.uum.edu.my/16483/
http://doi.org/10.1109/ITSIM.2010.5561432
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spelling my.uum.repo.164832016-04-25T00:44:46Z http://repo.uum.edu.my/16483/ A soft computing approach for the memory storage of a sound signal processor Hamzah, Hammuzamer Irwan Abdullah, Azween QA76 Computer software 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 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/16483/1/05.pdf Hamzah, Hammuzamer Irwan and Abdullah, Azween (2010) A soft computing approach for the memory storage of a sound signal processor. In: International Symposium in Information Technology (ITSim), 2010, 15-17 June 2010, Kuala Lumpur. http://doi.org/10.1109/ITSIM.2010.5561432 doi:10.1109/ITSIM.2010.5561432
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Hamzah, Hammuzamer Irwan
Abdullah, Azween
A soft computing approach for the memory storage of a sound signal processor
description 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.
format Conference or Workshop Item
author Hamzah, Hammuzamer Irwan
Abdullah, Azween
author_facet Hamzah, Hammuzamer Irwan
Abdullah, Azween
author_sort Hamzah, Hammuzamer Irwan
title A soft computing approach for the memory storage of a sound signal processor
title_short A soft computing approach for the memory storage of a sound signal processor
title_full A soft computing approach for the memory storage of a sound signal processor
title_fullStr A soft computing approach for the memory storage of a sound signal processor
title_full_unstemmed A soft computing approach for the memory storage of a sound signal processor
title_sort soft computing approach for the memory storage of a sound signal processor
publishDate 2010
url http://repo.uum.edu.my/16483/1/05.pdf
http://repo.uum.edu.my/16483/
http://doi.org/10.1109/ITSIM.2010.5561432
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score 13.18916