diff options
Diffstat (limited to 'lab-windows')
| -rw-r--r-- | lab-windows/dsss_experiments-ber.ipynb | 126 |
1 files changed, 113 insertions, 13 deletions
diff --git a/lab-windows/dsss_experiments-ber.ipynb b/lab-windows/dsss_experiments-ber.ipynb index 2d06233..c483cfc 100644 --- a/lab-windows/dsss_experiments-ber.ipynb +++ b/lab-windows/dsss_experiments-ber.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 121, "metadata": {}, "outputs": [], "source": [ @@ -14,11 +14,11 @@ "from collections import defaultdict\n", "import json\n", "\n", - "\n", "from matplotlib import pyplot as plt\n", "import matplotlib\n", "import numpy as np\n", "from scipy import signal as sig\n", + "from scipy import fftpack as fftpack\n", "import ipywidgets\n", "\n", "from tqdm.notebook import tqdm\n", @@ -29,7 +29,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 108, "metadata": {}, "outputs": [], "source": [ @@ -38,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 109, "metadata": {}, "outputs": [], "source": [ @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 110, "metadata": {}, "outputs": [], "source": [ @@ -73,7 +73,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 111, "metadata": {}, "outputs": [], "source": [ @@ -93,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -107,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -127,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 114, "metadata": {}, "outputs": [], "source": [ @@ -142,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 115, "metadata": {}, "outputs": [], "source": [ @@ -162,7 +162,67 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 125, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4330b0f8ceea4d5d922d2063a81554ca", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.psd(colorednoise.powerlaw_psd_gaussian(1, 1000))\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "start 14880 end 24800 rec 29760\n" + ] + } + ], + "source": [ + "test_duration = 32\n", + "test_nbits = 5\n", + "test_signal_amplitude=2.0e-3\n", + "test_decimation=10\n", + "test_signal_amplitude = 200e-3\n", + "noise_level = 10e-3\n", + "\n", + "#test_data = np.random.RandomState(seed=0).randint(0, 2 * (2**test_nbits), test_duration)\n", + "#test_data = np.array([0, 1, 2, 3] * 50)\n", + "test_data = np.array(range(test_duration))\n", + "signal = np.repeat(modulate(test_data, test_nbits, pad=False) * 2.0 - 1, test_decimation) * test_signal_amplitude\n", + "noise = colorednoise.powerlaw_psd_gaussian(1, len(signal)*3) * noise_level\n", + "noise[int(1.5*len(signal)):][:len(signal)] += signal\n", + "print('start', int(1.5*len(signal)), 'end', int(1.5*len(signal))+len(signal), 'rec', len(noise))\n", + "\n", + "with open(f'dsss_test_signals/dsss_test_noiseless_padded.bin', 'wb') as f:\n", + " for e in noise:\n", + " f.write(struct.pack('<f', e))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -176,13 +236,13 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "373401133cfe408aa15738e48c58dfaa", + "model_id": "", "version_major": 2, "version_minor": 0 }, @@ -200,6 +260,46 @@ }, { "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<ipython-input-104-abeb28a85dfa>:5: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", + " fig, ax = plt.subplots()\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#nonlinear_distance_impl = lambda x: np.exp(-np.abs(x)/10) * x**4\n", + "nonlinear_distance_impl = lambda x: np.exp(-((x/10 - 0.5)%1 - 0.5)**2 / (2*1.2/10**2))\n", + "\n", + "def plot_distance_func_impl():\n", + " fig, ax = plt.subplots()\n", + " x = np.linspace(-30, 30, 10000)\n", + " ax.plot(x, nonlinear_distance_impl(x))\n", + "\n", + "plot_distance_func_impl()" + ] + }, + { + "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], |