Efficiency of Oversampled Discrete Fourier Transform Filter Blocks to Cancel Background Noise
2019
SHIRZAD, Hamed | POORAHMADAZAR, Javad | REZAIEH, Sasan Ahdi
Slow focus ability and complex computations are the main barrages facing the usage of adaptive noise filtering for cancellation ofthe background noise. Here we have developed noise canceller by using two fold over sampled filter banks. We had formulatedthe system by few realistic assumptions to analyses the filter. System offers a structure without cross-filters or gap filter banksand hence decreases the residual noise at the output. Increasing initial convergence rate is addressed and computational complexityis analyzed .The performance under white and colored environments, is evaluated in terms of mean square error performance. Asa result fast initial convergence was resulted. An increase in the amount of noise reduction by approximately 5dB compared tofull-band model reached under actual speech and background noise. In spite of the insertion of analysis/synthesis filter banks, theproposed noise canceller is still computationally efficient.
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