diff options
Diffstat (limited to 'src')
-rw-r--r-- | src/dab_util.py | 13 | ||||
-rw-r--r-- | src/dab_util_test.py | 2 | ||||
-rw-r--r-- | src/dabconst.py | 20 |
3 files changed, 29 insertions, 6 deletions
diff --git a/src/dab_util.py b/src/dab_util.py index 843f8a5..617bd9a 100644 --- a/src/dab_util.py +++ b/src/dab_util.py @@ -1,7 +1,6 @@ import numpy as np import scipy import matplotlib.pyplot as plt -import fftconvolve import src.dabconst as dabconst from scipy import signal @@ -84,9 +83,15 @@ def fftlag(sig_orig, sig_rec, n_upsampling = 1): sig_orig: The signal that has been sent sig_rec: The signal that has been recored """ - c = np.flipud(fftconvolve.fftconvolve(sig_orig,np.flipud(sig_rec), n_upsampling)) - #plt.plot(c) - return (np.argmax(c) - sig_orig.shape[0] + 1) + #off = sig_rec.shape[0] + #fft1 = np.fft.fft(sig_orig, n=sig_orig.shape[0]) + #fft2 = np.fft.fft(np.flipud(sig_rec), n=sig_rec.shape[0]) + #fftc = fft1 * fft2 + #c = np.fft.ifft(fftc) + c = signal.convolve(sig_orig, np.flipud(sig_rec)) + #c = signal.correlate(sig_orig, sig_rec) + return c + return np.argmax(c) - off + 1 def get_amp_ratio(ampl_1, ampl_2, a_out_abs, a_in_abs): idxs = (a_in_abs > ampl_1) & (a_in_abs < ampl_2) diff --git a/src/dab_util_test.py b/src/dab_util_test.py index 83813a9..be36d53 100644 --- a/src/dab_util_test.py +++ b/src/dab_util_test.py @@ -1,9 +1,7 @@ from scipy import signal import numpy as np import src.gen_source as gs -reload(gs) import src.dab_util as du -reload(du) def gen_test_signals(oversampling=4, sample_offset_float=0): off = int(sample_offset_float) diff --git a/src/dabconst.py b/src/dabconst.py new file mode 100644 index 0000000..d978753 --- /dev/null +++ b/src/dabconst.py @@ -0,0 +1,20 @@ +class tm1(): + def __init__(self, rate = 2048000): + self.upsampling = rate / 2048000 + self.L = 76 + self.K = 1536 + + self.S_F = 196608 * self.upsampling + self.T_F = float(self.S_F) / rate + + self.S_NULL = 2656 * self.upsampling + self.T_NULL = float(self.S_NULL) / rate + + self.S_S = 2552 * self.upsampling + self.T_S = float(self.S_S) / rate + + self.S_U = 2048 * self.upsampling + self.T_S = float(self.S_U) / rate + + self.S_GUARD = 504 * self.upsampling + self.T_GUARD = float(self.S_GUARD) / rate |