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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/16483/1/05.pdf |
| _version_ | 1825803714126938112 |
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| author | Hamzah, Hammuzamer Irwan Abdullah, Azween |
| author_facet | Hamzah, Hammuzamer Irwan Abdullah, Azween |
| author_sort | Hamzah, Hammuzamer Irwan |
| collection | UUM |
| 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. |
| first_indexed | 2024-07-04T06:02:11Z |
| format | Conference or Workshop Item |
| id | uum-16483 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:02:11Z |
| publishDate | 2010 |
| record_format | eprints |
| spelling | uum-164832016-04-25T00:44:46Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 doi:10.1109/ITSIM.2010.5561432 |
| spellingShingle | QA76 Computer software Hamzah, Hammuzamer Irwan Abdullah, Azween A soft computing approach for the memory storage of a sound signal processor |
| title | 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_short | 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 |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/16483/1/05.pdf |
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