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We have designed a morphological filter in order to calculate the centroid spots of Hartmann patterns.
The sensor readings are then placed into a IFR low pass filter in order to remove noise introduced by the sampling process.
The samples then are put through a very fine filter in order to separate the solution from the solids in the soil.
The methodology is based on the use of safety constraints coming from the filter in order to get the most permissive safe controller.
The system measurements are sampled and then transmitted to the estimator and filter in order to estimate the state of the jumped system under consideration.
In the paper SI technique is used for layout generation of an image filter in order to illustrate the elaborated synthesis algorithms and tools.
The PI controllers are augmented with a first order low pass filter in order to ensure a low gain at the resonant wave frequency.
An FDI algorithm is applied to the federated Kalman filter in order to improve the accuracy of the state estimation even when the sensor fails.
Thus, it was possible to use this analysis to gain a better understanding of the nonlinear interactions in a bubble column as well as the performance of a PIV post-processing filter in order to reduce the effect of noise.
The bR molecules and graphene sheets were separated from each other in an aqueous environment by using a polytetrafluoroethylene membrane filter, in order to prevent their direct interactions (including attachment of the bR molecules onto the GO).
Activated sludge from a wastewater treatment plant and pure culture of Hydrogenophaga pseudoflava were utilized for the development of a denitrifying biofilm in a submerged filter in order to remove nitrate from polluted groundwater.
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