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The filter coefficient is then estimated using the edge information of the degraded image.
It was determined that the filter coefficient was sensitive to liquid holdup and specific deposit.
This technique is based on an adaptive implementation of the selective filter coefficient σ.
The complexity of each filter coefficient update equation is then compared.
The computation of the filter coefficient update equation in IMPNLMS + algorithm is expensive.
In Table 1, we compare the computational complexity of each filter coefficient update equation.
Doing this, the edge will be preserved and averaged only by the lower filter coefficient.
In this case, each LPC filter coefficient, a i, is replaced by, for, where = 0.99.
In this algorithm, the step-size vector with different values for each filter coefficient was used.
For 160Hz Doppler the Sampling frequency (Filter coefficient update rate is 16 KHz).
The variable q m,n denotes the 2D Gaussian filter coefficient.
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