Time Series, Path, and Attribution Analysis - Aster Analytics
Teradata AsterĀ® Analytics Release NotesUpdate 3
- Product
- Aster Analytics
- Release Number
- 7.00.02.01
- Published
- December 2017
- Language
- English (United States)
- Last Update
- 2018-04-13
- dita:mapPath
- qhy1497542629412.ditamap
- dita:ditavalPath
- Generic_no_ie_no_tempfilter.ditaval
- dita:id
- zdi1474411568514
- lifecycle
- previous
- Product Category
- Software
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FFT. The FFT function uses a Fast Fourier Transform (FFT) algorithm to compute the discrete Fourier Transform (DFT) of each signal in one or more input table columns. A signal can be either real or complex, and can have one, two, or three dimensions.
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IFFT. The IFFT function uses an inverse Fast Fourier Transform (IFFT) algorithm (also called a Fourier synthesis algorithm) to reverse the Fast Fourier Transform (FFT) performed by the FFT function.