Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm
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...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/866/1/1._silicon08_-_paper_-_hammuzamer.pdf http://eprints.utp.edu.my/866/ |
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| Summary: | 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. |
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