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8

JSCIC
2008

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Computing Derivatives of Noisy Signals Using Orthogonal Functions Expansions

13 years 4 months ago

Computing Derivatives of Noisy Signals Using Orthogonal Functions Expansions

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In many applications noisy signals are measured. These signals has to be filtered and, sometimes, their derivative have to be computed. In this paper a method for filtering the signals and computing the derivatives is presented. This method is based on expansion onto transformed Legender polynomials. Numerical examples demonstrates the efficacy of the method as well as the theoretical estimates.

Adi Ditkowski, Abhinav Bhandari, Brian W. Sheldon

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Applications Noisy Signals | JSCIC 2008 | Legender Polynomials | Numerical Examples |

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Added	13 Dec 2010
Updated	13 Dec 2010
Type	Journal
Year	2008
Where	JSCIC
Authors	Adi Ditkowski, Abhinav Bhandari, Brian W. Sheldon

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