Thumbnail
Access Restriction
Subscribed

Author Negron, C. D.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©1966
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract An economical approach is described for estimating power spectra from sampled data through the application of $\textit{Z}-transform$ theory. The method consists of computing a weighting sequence whose frequency characteristics approximate a one-third octave bandwidth filter, and applying these coefficients recursively to the digitized data record. Filtering is followed by a variance calculation and a division by the appropriate filter bandwidth. A specific example of power spectra computed in the usual manner (Fourier transformation of the autocorrelation function) and power spectra computed by the method in this paper demonstrates the practicability of the technique. The most significant advantage is the economical aspect. It is shown that owing to the variable bandwidth and the small number of filtering coefficients, the savings that may be realized by the employment of this technique, in lieu of the autocorrelation transformation approach, may be quite considerable, depending on the record length and the number of lag products.
ISSN 00045411
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1966-10-01
Publisher Place New York
e-ISSN 1557735X
Journal Journal of the ACM (JACM)
Volume Number 13
Issue Number 4
Page Count 10
Starting Page 605
Ending Page 614


Open content in new tab

   Open content in new tab
Source: ACM Digital Library