Investigation of Digital Filtering Techniques for the Analysis of Experimental Data
Lanny D. Wells · 1975
Abstract : This paper presents techniques of processing digital data to remove unwanted frequencies and to simulate the effect of simple RC networks on the corresponding analog data. The development of these techniques provides: a means of isolating a signal from background noise, a means of removing low frequency drift from a signal, and a means of selectively reversing previous filtering. These techniques are valuable in the refinement and validation of digital simulations. The method presented in this paper used the Fast Fourier Transform. The methodology has been applied to remove noise and drift from experimental and mathematical model date relative to determining an RMS value of a tank gun pointing error.