Vladimir Kazakov, Sviatoslav Afrikanov, Yair Olvera


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Atomic functions, Conditional mean rule, Error reconstruction function, Non-optimal algorithm.


A non-optimal algorithm based on atomic function is investigated for the Sampling. Reconstruction Procedure (SRP) of Gaussian process realizations. The reconstruction error function of this non-optimal algorithm is compared with the reconstruction error functions obtained in the optimal algorithm, represented by the conditional mean rule, and in another non-optimal algorithm based on Balakrishnan’s theorem. Results show that the application of atomic function has disadvantages reflected in a bigger magnitude of the error reconstruction.

Cite this paper

Vladimir Kazakov, Sviatoslav Afrikanov, Yair Olvera. (2016) Error Reconstruction Functions of Non-Optimal algorithms based on Atomic Functions. International Journal of Signal Processing, 1, 77-86