A new data reduction method is investigated, based on an efficient spline approximation algorithm. It capitalizes on the natural data compression achieved by the processing of the Fourier-Transform of the raw waveform and the further reduction and computational efficiency obtained by the applied spline approximation technique. As a side merit, we obtain a good noise immunity, since the noise present in the raw wave-form or the Fourier Transform will be averaged out by the smoothing action of the method involved.

Date Published: 11 September 1978
PDF: 7 pages
Proc. SPIE 0134, Photo- and Electro-Optics in Range Instrumentation, (11 September 1978); doi: 10.1117/12.956092

Published in SPIE Proceedings Vol. 0134:
Photo- and Electro-Optics in Range Instrumentation
Walter J. Carrion; Jed E. Durrenberger; Richard K. Petersen; John Cornell, Editor(s)