Add subsample_alignment and it's test

1 files changed, 49 insertions, 0 deletions

diff --git a/src/dab_util_test.py b/src/dab_util_test.py
index be36d53..3f9e941 100644
--- a/src/dab_util_test.py
+++ b/src/dab_util_test.py
@@ -1,5 +1,7 @@
 from scipy import signal
 import numpy as np
+import pandas as pd
+from tqdm import tqdm
 import src.gen_source as gs
 import src.dab_util as du
 
@@ -28,7 +30,54 @@ def test_phase_offset(lag_function, tol):
         res.append(np.abs(off-off_meas)<tol)
     return np.mean(res)
 
+
+def test_using_aligned_pair(sample_orig=r'../data/orig_rough_aligned.dat', sample_rec =r'../data/recored_rough_aligned.dat', length = 10240, max_size = 1000000):
+    res = []
+    for i in tqdm(range(100)):
+        start = np.random.randint(50, max_size)
+        r = np.random.randint(-50, 50)
+
+        s1 = du.fromfile(sample_orig, offset=start+r, length=length)
+        s2 = du.fromfile(sample_rec, offset=start, length=length)
+
+        res.append({'offset':r,
+                    '1':r - du.lag_upsampling(s2, s1, n_up=1),
+                    '2':r - du.lag_upsampling(s2, s1, n_up=2),
+                    '3':r - du.lag_upsampling(s2, s1, n_up=3),
+                    '4':r - du.lag_upsampling(s2, s1, n_up=4),
+                    '8':r - du.lag_upsampling(s2, s1, n_up=8),
+                    '16':r - du.lag_upsampling(s2, s1, n_up=16),
+                    '32':r - du.lag_upsampling(s2, s1, n_up=32),
+                    })
+    df = pd.DataFrame(res)
+    df = df.reindex_axis(sorted(df.columns), axis=1)
+    print(df.describe())
+
+def test_subsample_alignment(sample_orig=r'../data/orig_rough_aligned.dat',
+        sample_rec =r'../data/recored_rough_aligned.dat', length = 10240, max_size = 1000000):
+    res1 = []
+    res2 = []
+    for i in tqdm(range(10)):
+        start = np.random.randint(50, max_size)
+        r = np.random.randint(-50, 50)
+
+        s1 = du.fromfile(sample_orig, offset=start+r, length=length)
+        s2 = du.fromfile(sample_rec, offset=start, length=length)
+
+        res1.append(du.lag_upsampling(s2, s1, 32))
+
+        s1_aligned, s2_aligned = du.subsample_align(s1,s2)
+
+        res2.append(du.lag_upsampling(s2_aligned, s1_aligned, 32))
+
+    print("Before subsample alignment: lag_std = %.2f, lag_abs_mean = %.2f" % (np.std(res1), np.mean(np.abs(res1))))
+    print("After subsample alignment: lag_std = %.2f, lag_abs_mean = %.2f" % (np.std(res2), np.mean(np.abs(res2))))
+
+print("Align using upsampling")
 for n_up in [1, 2, 3, 4, 7, 8, 16]:
    correct_ratio = test_phase_offset(lambda x,y: du.lag_upsampling(x,y,n_up), tol=1./n_up)
    print("%.1f%% of the tested offsets were measured within tolerance %.4f for n_up = %d" % (correct_ratio * 100, 1./n_up, n_up))
+test_using_aligned_pair()
 
+print("Phase alignment")
+test_subsample_alignment()