Fast Fourier transform: Difference between revisions
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(→{{header|MATLAB}} / {{header|Octave}}: FFT in Matlab/Octave) |
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Output: <pre>{4. + 0. I, 1. - 2.4142136 I, 0. + 0. I, 1. - 0.41421356 I, 0. + 0. I, 1. + 0.41421356 I, 0. + 0. I, 1. + 2.4142136 I}</pre> |
Output: <pre>{4. + 0. I, 1. - 2.4142136 I, 0. + 0. I, 1. - 0.41421356 I, 0. + 0. I, 1. + 0.41421356 I, 0. + 0. I, 1. + 2.4142136 I}</pre> |
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=={{header|MATLAB}} / {{header|Octave}}== |
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Matlab/Octave have a builtin FFT function. |
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<lang MATLAB> fft([1,1,1,1,0,0,0,0]') |
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</lang> |
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Output: |
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<pre>ans = |
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4.00000 + 0.00000i |
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1.00000 - 2.41421i |
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0.00000 + 0.00000i |
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1.00000 - 0.41421i |
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0.00000 + 0.00000i |
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1.00000 + 0.41421i |
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0.00000 - 0.00000i |
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1.00000 + 2.41421i</pre> |
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=={{header|OCaml}}== |
=={{header|OCaml}}== |
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