NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
An adaptive data-smoothing routineAn adaptive noise reduction algorithm that can be implemented on a microcomputer is developed. Smoothing polynomials are used where the polynomial coefficients are chosen such that the mean-square-error between the noisy and smoothed data is minimized. This approach is equivalent to the implementation of a low-pass finite impulse response filter. The noise reduction depends on the order of the smoothing polynomial. A whiteness test on the error sequence is incorporated to search for the optimal smoothing. Expansion coefficients may be computed via the fast Fourier transform, and the resulting smoothing process is the equivalent of the implementation of an adaptive ideal low-pass filter. Results are obtained for an analytical signal with added white Gaussian noise. The routine may be applied to any smooth signal with additive random noise.
Document ID
19890044109
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Taylor, Clayborne D.
(Mississippi State University Mississippi State, United States)
Nicolas, David P.
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Date Acquired
August 14, 2013
Publication Date
April 1, 1989
Publication Information
Publication: Computers in Physics
Volume: 3
ISSN: 0894-1866
Subject Category
Computer Programming And Software
Accession Number
89A31480
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available