From: W. Trevor King <wking@drexel.edu>
Date: Sat, 4 Oct 2008 14:04:22 +0000 (-0400)
Subject: Added some more Parseval's checks, but they failed.
X-Git-Tag: 0.2~4
X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=7d28642acf2a56ddee0ea4adf3d949f807c71012;p=FFT-tools.git

Added some more Parseval's checks, but they failed.

TODO, figure out why and fix it, so I can uncomment the checks.
---

diff --git a/FFT_tools.py b/FFT_tools.py
index b6b7b35..7174d1d 100644
--- a/FFT_tools.py
+++ b/FFT_tools.py
@@ -45,7 +45,6 @@ def ceil_pow_of_two(num) :
     return num
 
 def _test_rfft(xs, Xs) :
-    print "Test numpy rfft definition"
     # Numpy's FFT algoritm returns
     #          n-1
     #   X[k] = SUM x[m] exp (-j 2pi km /n)
@@ -70,6 +69,7 @@ def _test_rfft(xs, Xs) :
         "Mismatch on Parseval's, %g != 1/%d * %g" % (timeSum, n, freqSum)
 
 def _test_rfft_suite() :
+    print "Test numpy rfft definition"
     xs = [1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1]
     _test_rfft(xs, rfft(xs))
 
@@ -120,7 +120,6 @@ def unitary_rfft(data, freq=1.0) :
     return (freq_axis, trans)
 
 def _test_unitary_rfft_parsevals(xs, freq, freqs, Xs):
-    print "Test unitary rfft on Parseval's theorem"
     # Which should satisfy the discretized integral form of Parseval's theorem
     #   n-1              n-1
     #   SUM |x_m|^2 dt = SUM |X_k|^2 df
@@ -139,6 +138,7 @@ def _test_unitary_rfft_parsevals(xs, freq, freqs, Xs):
         % (lhs, rhs)
 
 def _test_unitary_rfft_parsevals_suite():
+    print "Test unitary rfft on Parseval's theorem"
     xs = [1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1]
     dt = pi
     freqs,Xs = unitary_rfft(xs, 1.0/dt)
@@ -161,6 +161,7 @@ def _test_unitary_rfft_rect(a=1.0, time_shift=5.0, samp_freq=25.6, samples=256)
         t = i*dt
         x[i] = _rect(a*(t-time_shift))
     freq_axis, X = unitary_rfft(x, samp_freq)
+    #_test_unitary_rfft_parsevals(x, samp_freq, freq_axis, X)
 
     # remove the phase due to our time shift
     j = complex(0.0,1.0) # sqrt(-1)
@@ -209,6 +210,7 @@ def _test_unitary_rfft_gaussian(a=1.0, time_shift=5.0, samp_freq=25.6, samples=2
         t = i*dt
         x[i] = _gaussian(a, (t-time_shift))
     freq_axis, X = unitary_rfft(x, samp_freq)
+    #_test_unitary_rfft_parsevals(x, samp_freq, freq_axis, X)
 
     # remove the phase due to our time shift
     j = complex(0.0,1.0) # sqrt(-1)