FFT
Advanced Analysis Library Only
AnalysisLibErrType FFT (double arrayXReal[], double arrayXImaginary[], ssize_t numberOfElements);
Purpose
 |
Note This function has been superseded by CxFFTEx. CxFFTEx includes additional parameters, which makes it more versatile than FFT. |
Calculates the Fast Fourier Transform (FFT) of the complex data.
Let X = x + jy be the complex array:
Y = FFT(X)
FFT can perform the operation in place and overwrite the input arrays.
Example Code
/* Generate two arrays with random numbers and calculate the Fast Fourier Transform. */
double x[256], y[256];
n;
n = 256;
Uniform (n, 17, x);
Uniform (n, 17, y);
FFT (x, y, n);
Parameters
| Input | ||
| Name | Type | Description |
| numberOfElements | ssize_t | Number of elements in the input arrays. |
| Output | ||
| Name | Type | Description |
| arrayX_Real | double [] | On input, the real part of complex array used to compute the FFT. On output, the real part of the FFT. This operation is performed in place, meaning the values in this array are overwritten. |
| arrayX_Imaginary | double [] | On input, the imaginary part of complex array used to compute the FFT. On output, the imaginary part of the FFT. This operation is performed in place, meaning the values in this array are overwritten. |
Return Value
| Name | Type | Description |
| status | AnalysisLibErrType | A value that specifies the type of error that occurred. Refer to analysis.h for definitions of these constants. |
Additional Information
Library: Advanced Analysis Library
Include file: analysis.h
LabWindows/CVI compatibility: LabWindows/CVI 3.1 and later
Examples
Refer to the following examples that use the FFT function:
- analysis\2dfft.cws
Open example - analysis\parsevls.cws
Open example - OpenMP\2dfft_omp.cws
Open example