Reconstruction of original signal from contaminated signal using fractional order differentiator

A discrete time modeled fractional order differentiator has been designed for estimating the fractional order derivative of contaminated signal. The proposed approach uses Chebyshev polynomial based approximation. Riemann-Liouville fractional order derivative definition has been used for design of fractional order Savitzky-Golay differentiator. Proposed algorithm has been validated with different signals. The results show the robustness and sensitivity of the proposed method against noise.

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