Numerical Experiments With a New Differentiation Filter

Author:

Busby H. R.1,Trujillo D. M.2

Affiliation:

1. Department of Mechanical Engineering, The Ohio State University, Columbus, Ohio 43210

2. CASDE Corporation, Torrance, Calif. 90503

Abstract

A dynamic programming filter which provides estimates of the first and second derivative of empirical displacement data is investigated numerically. This filter uses a weighted least squares criteria in estimating the derivatives. The filter equations are presented together with several numerial examples. These examples are taken from references that proposed other techniques.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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