DATA WINDOWING IN SPECTRAL ANALYSIS

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Authors
  1. Mohammed, A.
  2. Smith, R.G.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN)
Abstract
The report contains a discussion of data windowing used in computations of spectral estimates by the discrete Fourier transform. Two important problems often encountered in data analysis are introduced first: they are known as "leackage" and "picket-fence effect" and describe distortions in spectral estimates. A discussion on windowing methods points out the relative merits of data and lag windowing and outlines procedures to be used in obtaining good spectral estimates for signal-like and noise-like data. An extensive table of data windows of the algebraic and transcendental types is presented. For a variety of data windows, quantitative measures of leakage, picket-fence effect, and frequency resolution are tabulated. Figures showing data windows and their corresponding frequency-domain shapes for spectral analysis are included.
Report Number
DREA-R-75-2 —
Date of publication
15 Jun 1975
Number of Pages
56
DSTKIM No
76-00353
CANDIS No
93672
Format(s):
Document Image stored on Optical Disk;Originator's fiche received by DSIS

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