Interpolation of random processes using Winner-Hopf filtration
DOI:
https://doi.org/10.3103/S0735272709030030Abstract
The influence of type and dimensionality of sample collection on the interpolation effectiveness when using Winner-Hopf linear filtration for random processes with two distributed and correlation coefficients applicably to interference compensation problems is considered. The obtained results demonstrate that the use of sample collection of the random process values and its derivatives in the interpolation nodes is more effective than using samples collections of random process values, and, in case of necessity, allows performing adaptation in a simpler manner.
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