Accession Number:

AD0603481

Title:

AN INVESTIGATION OF SOME SOLUTIONS TO THE SMOOTHING AND PREDICTION PROBLEM.

Descriptive Note:

Master's Thesis,

Corporate Author:

OKLAHOMA UNIV NORMAN

Personal Author(s):

Report Date:

1964-07-01

Pagination or Media Count:

60.0

Abstract:

This thesis is concerned with evaluating from the theoretical methods available, a physically realizable filter whose function is smoothing and prediction. The original problem was formulated by Weiner and was subsequently simplified by Bode and Shannon. The original work by Wiener was very difficult to follow due to the rather formidable mathematics involved. The development by Bode and Shannon is not as rigorous or general as the method of Wiener but does have the advantage of offering a simplified approach for the engineer who has a background of electric circuit theory. The work of Wiener is based on statistical design theory as opposed to conventional design procedures. It seems logical that statistical design broadens the design field in that it includes general types of signal inputs as opposed to the familiar step, ramp, etc., of conventional theory. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE