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author | andreas128 <Andreas> | 2017-08-19 14:41:40 +0200 |
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committer | andreas128 <Andreas> | 2017-08-19 14:41:40 +0200 |
commit | a7cec585afe6d4805f61461091e516b25574945d (patch) | |
tree | ea92aace0941524f33ee6836f4c0ffc2c47767c2 /dpd/src/subsample_align.py | |
parent | 8696ebf0d58e0e2b9b362497e6c1b778de4a20b6 (diff) | |
download | dabmod-a7cec585afe6d4805f61461091e516b25574945d.tar.gz dabmod-a7cec585afe6d4805f61461091e516b25574945d.tar.bz2 dabmod-a7cec585afe6d4805f61461091e516b25574945d.zip |
Fix target function for subsampling alignment
Diffstat (limited to 'dpd/src/subsample_align.py')
-rwxr-xr-x | dpd/src/subsample_align.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/dpd/src/subsample_align.py b/dpd/src/subsample_align.py index eda1dce..4dc854b 100755 --- a/dpd/src/subsample_align.py +++ b/dpd/src/subsample_align.py @@ -52,7 +52,7 @@ def subsample_align(sig, ref_sig): corr_sig = np.fft.ifft(rotate_vec * fft_sig) - return -np.abs(np.sum(corr_sig * ref_sig)) + return -np.abs(np.sum(corr_sig.conjugate() * ref_sig)) optim_result = optimize.minimize_scalar(correlate_for_delay, bounds=(-1,1), method='bounded', options={'disp': True}) @@ -61,7 +61,7 @@ def subsample_align(sig, ref_sig): #print("Found subsample delay = {}".format(best_tau)) - if 0: + if 1: corr = np.vectorize(correlate_for_delay) ixs = np.linspace(-1, 1, 100) taus = corr(ixs) |