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author | Joseph Martinot-Lagarde <joseph.martinot-lagarde@onera.fr> | 2015-04-02 16:33:50 +0200 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2015-06-21 14:35:33 -0600 |
commit | 81d53e44a8d503dba3101c1f523008d0a0dde787 (patch) | |
tree | 3e0ab36b22570b55ff8a172fd3ca2292eeca5f3e /numpy/fft/info.py | |
parent | e3b2bc0b0f31482cd112660393245116ae55ecbf (diff) | |
download | numpy-81d53e44a8d503dba3101c1f523008d0a0dde787.tar.gz |
ENH: Add a norm keyword and tests for fft transforms
Diffstat (limited to 'numpy/fft/info.py')
-rw-r--r-- | numpy/fft/info.py | 10 |
1 files changed, 9 insertions, 1 deletions
diff --git a/numpy/fft/info.py b/numpy/fft/info.py index 916d452f2..f7fc95453 100644 --- a/numpy/fft/info.py +++ b/numpy/fft/info.py @@ -116,7 +116,15 @@ The inverse DFT is defined as \\qquad m = 0,\\ldots,n-1. It differs from the forward transform by the sign of the exponential -argument and the normalization by :math:`1/n`. +argument and the default normalization by :math:`1/n`. + +Normalization +------------- +The default normalization has the direct transforms unscaled and the inverse +transforms are scaled by :math:`1/n`. It is possible to obtain unitary +transforms by setting the keyword argument ``norm`` to ``"ortho"`` (default is +`None`) so that both direct and inverse transforms will be scaled by +:math:`1/\\sqrt{n}`. Real and Hermitian transforms ----------------------------- |