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Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm

Hammuzamer Irwan, Hamzah and Azween, Abdullah (2008) Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm. In: Seminar Ilmiah Ilmu Komputer Nasional (Silicon 2008), 13–14 November 2008, Universitas Pelita Harapan Tangerang, Indonesia .

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Abstract

This research is in the early phase to solve the problem of how to remove a signal noise using concurrent algorithm. The solution of this problem is shown by producing a high level conceptual model to visualize the architecture of this research. The human ear by means of the cochlea is modeled and adapted for the noise filtering mechanism. Moreover, the brain is utilized as a medium to recognize the filtered signals, make decision, and focus on the desired signal frequency to produce the result. All these processes are concurrently executed to optimize the time and space factors in computing. Therefore, for the moment, a high level conceptual model is introduced to solve this research problem.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Academic Subject Three:petroleum engineering, geosciences
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:866
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:25 Mar 2010 01:58
Last Modified:20 Mar 2017 01:57

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