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| author | Charles Harris <charlesr.harris@gmail.com> | 2013-11-15 10:23:11 -0800 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2013-11-15 10:23:11 -0800 |
| commit | 843792b6d349133114930911424772e6bbbc0c9c (patch) | |
| tree | d21b2d4a8752e8c49bcd5e8015b0376894462845 /numpy | |
| parent | 1ebbd5cf03546be6b5bed727f89eb98c6cdf5d15 (diff) | |
| parent | 9f8639aaf2791f3f6e2f5e9f28877314f35db1a3 (diff) | |
| download | numpy-843792b6d349133114930911424772e6bbbc0c9c.tar.gz | |
Merge pull request #4047 from arunpersaud/convolve_doc
DOC: use variable names in formula for convolve
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/core/numeric.py | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index 1ed339401..39e5a4cd5 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -906,6 +906,8 @@ def convolve(a,v,mode='full'): distributed according to the convolution of their individual distributions. + If `v` is longer than `a`, the arrays are swapped before computation. + Parameters ---------- a : (N,) array_like @@ -944,7 +946,7 @@ def convolve(a,v,mode='full'): ----- The discrete convolution operation is defined as - .. math:: (f * g)[n] = \\sum_{m = -\\infty}^{\\infty} f[m] g[n - m] + .. math:: (a * v)[n] = \\sum_{m = -\\infty}^{\\infty} a[m] v[n - m] It can be shown that a convolution :math:`x(t) * y(t)` in time/space is equivalent to the multiplication :math:`X(f) Y(f)` in the Fourier |