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Proceedings ArticleDOI
08 Jun 2011
10 Citations
In this application, it helps disable subjects to chat by means of their brain signal activities.
In order to reliably remove a user, the corresponding multiple access interference (MAI) must be regenerated and subtracted from the received signal.
It does however require a large database of signals and there is the potential concern that the subtraction of the best match signal may somehow also remove a genuine signal from damage.
One of possible solution is to use concept of CLEAN technique an remove all strong echoes from received signal.
For this reason, the external noise signal is not easy to remove.
It is not possible to remove echo 100% from echoed signal because if echo is tried to be eliminated completely then the attempt may distort the main signal.
Real-time de-noising filters can be constructed to remove noise from the user's corresponding speech signal.
The simulation results show this method is effective, and it can remove noise from signal effectively and keep abrupt change in signal.
Therefore, it is necessary to adopt signal processing techniques to remove noise from collected signals.
Conventional methods are based on the principle of separating noise components from the recorded signal and removing them, but these methods do not remove noise completely.

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