Citation
Abstract
Most Fourier transform algorithms, when seeking a single frequency at the sampletime midpoint, simply choose the largest component of the set. The error is at least +0.5 component, and often larger. This article describes an addition to such algorithms that reduces the variance error by three-to-one (nominal). The addition achieves this by averaging all components within a predetermined “‘window,’’ selected as a function of frequency rate, and it is quite easy to mechanize within the existing algorithm.
Details
- Volume
- 42-53
- Published
- October 15, 1979
- Pages
- 155–160
- File Size
- 371.8 KB