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How to activate noise cancellation in boat rockerz 510? 

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Application of the new algorithm to multichannel acoustic echo cancellation with real-world signals achieves improved performance.
The proposed method came out to be very effective in noise cancellation of signal without requiring reference noise source.
Simulation results have been conducted to show that the integrated approach can remove the disturbing noise and, at the same time, allow the desired speech or audio signal to pass through without cancellation.
Proceedings ArticleDOI
Rafik Goubran, R. Herbert, H.M. Hafez 
06 May 1990
40 Citations
Analysis reveals that there is a high correlation between the acoustic noise in the area facing the driver's seat and the noise in other locations in the car, which suggests the possibility of using the two-microphones noise cancellation approach.
In order to improve the signal-to-noise ratio, effectively eliminate noise, In this paper, a two-stage adaptive noise cancellation method is proposed for enhancing ideal signal submerged in noise.
This leads to adverse effects on the performance of the active noise cancellation system and also to distortion of the internal sound.
The system based on the use of source audio signals for secondary path estimation is found to yield the largest cancellation of external noise while producing the least amplitude of control inputs that cancel desired audio signals.
We propose a new adaptive filtering algorithm for stereophonic acoustic echo cancellation.
Unlike many existing methodologies, our approach provides for the exact volumetric cancellation of unwanted noise in a given predetermined region of space while leaving unaltered those components of the total acoustic field that are deemed friendly.
This produces a high level of mechanical common mode noise cancellation.
The volumetric noise cancellation offered by the proposed methodology along with leaving the wanted sound unchanged is a unique feature compared to other techniques available in the literature.
It is shown that the performance of the new procedure for noise cancellation for multi-sensory signals is improved when compared to previously proposed methods.
The analysis and results on proposed technique for noise cancellation shows promising performance.
The outcomes from extensive experimentations show that the proposed PSO based acoustic noise cancellation method provides high performance in terms of SNR improvements with a satisfactory convergence rate in comparison to that obtained by some of the state-of-the-art methods.
Simulation results show promising improvement in noise cancellation even under very low and varied SNR and noise source conditions.
The obtained results indicate efficiency of the method in impulsive noise cancellation and improve the ability to detect a damage.