Numerical Differentiation of Noisy, Nonsmooth Data

摘要

We consider the problem of differentiating a function specifiedby noisy data. Regularizing the differentiation processavoids the noise amplification of finite-difference methods. We use total-variation regularization, which allows for discontinuoussolutions. The resulting simple algorithm accuratelydifferentiates noisy functions, including those whichhave a discontinuous derivative.