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-rw-r--r--sync-measurement.ipynb32
1 files changed, 22 insertions, 10 deletions
diff --git a/sync-measurement.ipynb b/sync-measurement.ipynb
index 90c9cfb..927afe4 100644
--- a/sync-measurement.ipynb
+++ b/sync-measurement.ipynb
@@ -11,7 +11,8 @@
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
- "import time;\n",
+ "import time\n",
+ "import scipy\n",
"from scipy import signal\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.colors as mpcol\n",
@@ -47,7 +48,9 @@
"n_steps = 64\n",
"amps = np.linspace(0.001, a_max, num = n_steps)\n",
"txgains = (50, 55, 60, 65, 70, 75, 81, 82, 83, 84, 85, 86, 87, 88, 89)\n",
- "rxgains = (50, 40, 40, 25, 25, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20)"
+ "rxgains = (50, 40, 40, 25, 25, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20)\n",
+ "txgains = (75, 81, 84, 85, 88, 89)\n",
+ "rxgains = (20, 20, 20, 20, 20, 20)"
]
},
{
@@ -65,10 +68,13 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "deletable": true,
+ "editable": true
+ },
"outputs": [],
"source": [
- "sg.gen_ramps(path=\"./input.dat\", amplitudes=amps)"
+ "sg.gen_ramps(path=\"./input.dat\", n_periods=64, pause=8, amplitudes=amps)"
]
},
{
@@ -135,8 +141,12 @@
" \n",
" bins = np.linspace(+0.5/n_steps,a_max + 0.5/n_steps,num=n_steps)\n",
" res = []\n",
- " a_out_abs = np.abs(a_out)\n",
- " a_in_abs = np.abs(a_in)\n",
+ " \n",
+ " a_out_up = scipy.signal.resample(a_out, a_out.shape[0] * 8)\n",
+ " a_in_up = scipy.signal.resample(a_in, a_in.shape[0] * 8)\n",
+ " \n",
+ " a_out_abs = np.abs(a_out_up)\n",
+ " a_in_abs = np.abs(a_in_up)\n",
" for ampl_1, ampl_2 in zip(bins, bins[1:]):\n",
" res.append(du.get_amp_ratio(ampl_1, ampl_2, a_out_abs, a_in_abs))\n",
" del a_out_abs\n",
@@ -145,7 +155,7 @@
" \n",
" res = []\n",
" for ampl_1, ampl_2 in zip(bins, bins[1:]):\n",
- " res.append(du.get_phase(ampl_1, ampl_2, a_out, a_in))\n",
+ " res.append(du.get_phase(ampl_1, ampl_2, a_out_up, a_in_up))\n",
" mean_phase, var_phase = zip(*res)\n",
" return mean_amp, var_amp, mean_phase, var_phase, db"
]
@@ -169,6 +179,7 @@
},
"outputs": [],
"source": [
+ "reload(du)\n",
"res = []\n",
"\n",
"for txgain, rxgain in zip(txgains, rxgains):\n",
@@ -195,12 +206,13 @@
" res_tmp = extract_measurement(a_in, a_out, txgain, a_max, n_steps, debug=True)\n",
" \n",
" def is_finite(r): return np.all([np.all(np.isfinite(c)) for c in r])\n",
- " def has_small_jumps(mean_amp): return np.max(np.abs(np.diff(mean_amp))) / np.median(np.abs(np.diff(mean_amp))) < 100\n",
+ " #def has_small_jumps(mean_amp): return np.max(np.abs(np.diff(mean_amp))) / np.median(np.abs(np.diff(mean_amp))) < 100\n",
" \n",
- " if is_finite(res_tmp) and has_small_jumps(res_tmp[0]):\n",
+ " #TODO\n",
+ " if is_finite(res_tmp): # and 1 + has_small_jumps(res_tmp[0]):\n",
" break\n",
" else:\n",
- " print (is_finite(res_tmp), has_small_jumps(res_tmp[0]))\n",
+ " print (is_finite(res_tmp))#, has_small_jumps(res_tmp[0]))\n",
" \n",
" res.append(res_tmp)"
]