Accession Number : ADA184317

Title :   On a Circular Correlation Technique for Filtering Randomly Noisy Data,

Corporate Author : AMERICAN SOCIETY FOR ENGINEERING EDUCATION WASHINGTON DC

Personal Author(s) : Giles, S ; Taylor, C D ; Harper, E ; McCloskey, R

PDF Url : ADA184317

Report Date : Jan 1987

Pagination or Media Count : 33

Abstract : This paper introduces a technique of smoothing high frequency random fluctuations from noisy data. An optimum lowpass filter is developed by using the circular serial correlation statistic to minimize the random noise content in serial data. The procedure is applicable for statistically mild data. All the basic aspects of the new filter technique are discussed and are applied to both simulated noisy data and actual measured data of unknown noise reduction, but it also appears to provide a means to reconstruct undersampled data.

Descriptors :   *SIGNAL PROCESSING, *NOISE REDUCTION, LOW PASS FILTERS, NOISE(ELECTRICAL AND ELECTROMAGNETIC), FOURIER SERIES, LEAST SQUARES METHOD, CURVE FITTING, CORRELATION TECHNIQUES, COEFFICIENTS

Subject Categories : Electricity and Magnetism

Distribution Statement : APPROVED FOR PUBLIC RELEASE