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- W2891806166 abstract "In this paper, we propose an innovative post-secondary filtering improvement algorithm on the time domain generalized side-lobe canceller (GSC) by incorporating human acoustic perception. This secondary filter apply minimum controlled recursive averaging (MCRA) algorithm as the decision unit to choose proper noise reduction approach on the suppression of pure noise signals or noisy speech signals. Either way, its central aim is to reduce the noise below the human hearing and the experimental results also demonstrate that our improved algorithm does help to eliminate the residual noises clearly, included point noise and diffused noise. Besides, the improved algorithm also further strengthens the advantage of GSC on the suppression of speech interference." @default.
- W2891806166 created "2018-09-27" @default.
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- W2891806166 date "2018-07-01" @default.
- W2891806166 modified "2023-09-24" @default.
- W2891806166 title "Post-Secondary Filtering Improvement of GSC Beamforming Algorithm" @default.
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- W2891806166 doi "https://doi.org/10.1109/icalip.2018.8455622" @default.
- W2891806166 hasPublicationYear "2018" @default.
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