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Also certain templates of memristive neural networks are established to implement the noise cancellation.
In this paper, we implement the noise cancellation method in FPGA as hardware to perform real-time speech enhancement.
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We implement the de-noising by soft thresholding the wavelet coefficients in each subband.
It is the equivalent of a spatial filter, and can implement the signal and noise separation based on the orientation difference of the signal and interference.
As an instance, by implementing the proposed noise and spike reduction algorithm to a measurement signal with the quality value about 0.90, the relative navigation error-rate is enhanced from 0.75 s−1 to 0.1 s−1 for linear positions and 1 s−1 to 0.12 s−1 for angular attitudes.
First, we implemented the linear noise approximation in the freely available software COPASI, and thus made it accessible to a large group of users.
To simulate a model under the perturbation of combined intrinsic and extrinsic noises, we implement the stochastic simulation algorithm of the apoptosis model as described above to mimic the intrinsic noise, and simultaneously allow certain protein concentrations to be log-normally distributed random variables to represent the extrinsic noise.
That is, the VAD results for each clean utterance are directly applied to its various noise-corrupted counterparts to implement the magnitude spectrum enhancement.
However, when NR was implemented, the negative effect of noise on recall was reduced, even though the ability to repeat sentence-final words remained the same [ 83].
This noise calculation program implements the joint Nordic prediction method for road traffic noise, which has been the standard method for noise calculation in Scandinavia since the first version of the method was published in 1981 (Bendtsen 1999).
This noise calculation program implements the joint Nordic prediction method for road traffic noise, which has been the standard method for noise calculation in Scandinavia during many years [ 22, 23].
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