Numerical Differentiation of Noisy, Nonsmooth Data

الملخص EN

We consider the problem of differentiating a function specified by noisy data.

Regularizing the differentiation process avoids the noise amplification of finite-difference methods.

We use total-variation regularization, which allows for discontinuous solutions.

The resulting simple algorithm accurately differentiates noisy functions, including those which have a discontinuous derivative.