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Particularly, it is proven that in twisted pair lines, the channel is well modeled by a recursive filter with a slowly decaying IR [8, 9].
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We propose an improvement of an oceanographic three dimensional variational assimilation scheme (3D-VAR), named OceanVar, by introducing a recursive filter (RF) with the third order of accuracy (3rd-RF), instead of an RF with first order of accuracy (1st-RF), to approximate horizontal Gaussian covariances.
In [85], a recursive filter is designed for power systems with quantized nonlinear measurements by minimizing the upper bound of the error covariance.
We update the background using a recursive filter [19, 20].
Similarly to the LMS algorithm, the PLL uses a recursive filter in the estimation.
A damage detection methodology is proposed by integrating a nonlinear recursive filter and a non-contact computer vision based algorithm to measure structural dynamic responses.
By considering recursive filter architecture, it is shown that the proposed equalizers can be designed with efficient hardware implementation.
The proposed filter combines a recursive Gaussian filter and FIR filter in order to minimize error rate that occurs by splitting the working domain.
Actually, the ultimate goal of this section is to show that if the MC transmission channel is modeled by slowly decaying recursive filter, then its partial equalization can be done only through canceling its transfer function poles, causing interference.
Furthermore, a smoother behaving estimate (bar {n}) is obtained by exploiting a first-order recursive filter of (hat {n}), bar{n}(t) = alphabar{n} t-1) + (1-alpha)hat{n} t-1(28).
A recursive Gaussian filter of any filter window size has a similar time complexity as a basic Gaussian filter with filter window size seven.
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