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
Departments / MOR / COE: Departments > Computer Information Sciences
Depositing User: Assoc Prof Dr Azween Abdullah
Date Deposited: 25 Mar 2010 01:58
Last Modified: 20 Mar 2017 01:57
URI: http://scholars.utp.edu.my/id/eprint/866

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