X-Git-Url: http://git.tremily.us/?p=hooke.git;a=blobdiff_plain;f=hooke%2Futil%2Ffft.py;h=87dbf11cc3af8e5ea977bac91107b47f91fb736a;hp=04fab7d71f2712792d012c697550bc7c241a17cc;hb=23bcfd05915a61e3a41d01babd291fd3089ba329;hpb=c46aaa51003a6722a28eea0e49f63ef1bb0e882d

diff --git a/hooke/util/fft.py b/hooke/util/fft.py
index 04fab7d..87dbf11 100644
--- a/hooke/util/fft.py
+++ b/hooke/util/fft.py
@@ -1,20 +1,19 @@
-# Copyright (C) 2008-2010 W. Trevor King <wking@drexel.edu>
+# Copyright (C) 2010-2012 W. Trevor King <wking@tremily.us>
 #
 # This file is part of Hooke.
 #
-# Hooke is free software: you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation, either
-# version 3 of the License, or (at your option) any later version.
+# Hooke is free software: you can redistribute it and/or modify it under the
+# terms of the GNU Lesser General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option) any
+# later version.
 #
-# Hooke is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU Lesser General Public License for more details.
+# Hooke is distributed in the hope that it will be useful, but WITHOUT ANY
+# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
+# A PARTICULAR PURPOSE.  See the GNU Lesser General Public License for more
+# details.
 #
-# You should have received a copy of the GNU Lesser General Public
-# License along with Hooke.  If not, see
-# <http://www.gnu.org/licenses/>.
+# You should have received a copy of the GNU Lesser General Public License
+# along with Hooke.  If not, see <http://www.gnu.org/licenses/>.
 
 """Wrap :mod:`numpy.fft` to produce 1D unitary transforms and power spectra.
 
@@ -114,7 +113,6 @@ def unitary_rfft(data, freq=1.0):
 
     Notes
     -----
-    
     If the units on your data are Volts,
     and your sampling frequency is in Hz,
     then `freq_axis` will be in Hz,
@@ -307,7 +305,7 @@ def avg_power_spectrum(data, freq=1.0, chunk_size=2048,
 
 def unitary_avg_power_spectrum(data, freq=1.0, chunk_size=2048,
                                overlap=True, window=window_hann):
-    """Compute the unitary avgerage power spectrum of `data`.
+    """Compute the unitary average power spectrum of `data`.
 
     See Also
     --------
@@ -334,7 +332,6 @@ class TestRFFT (unittest.TestCase):
 
     Notes
     -----
-
     The expected return values are [#dft]_:
 
     .. math:: X_k = \sum_{m=0}^{n-1} x_m \exp^{-2\pi imk/n}
@@ -372,7 +369,6 @@ class TestUnitaryRFFT (unittest.TestCase):
 
         Notes
         -----
-
         Which is:
 
         .. math:: \sum_{m=0}^{n-1} |x_m|^2 dt = \sum_{k=0}^{n-1} |X_k|^2 df
@@ -421,7 +417,6 @@ class TestUnitaryRFFT (unittest.TestCase):
 
         Notes
         -----
-
         Analytic result:
 
         .. math:: \rfft(\rect(at)) = 1/|a|\cdot\sinc(f/a)
@@ -486,7 +481,6 @@ class TestUnitaryRFFT (unittest.TestCase):
 
         Notes
         -----
-
         Analytic result:
 
         .. math::