Add end-to-end simulation

2 files changed, 56 insertions, 7 deletions

diff --git a/lab-windows/dsss_experiments-ber.ipynb b/lab-windows/dsss_experiments-ber.ipynb
index fd2466b..870ed64 100644
--- a/lab-windows/dsss_experiments-ber.ipynb
+++ b/lab-windows/dsss_experiments-ber.ipynb
@@ -1283,7 +1283,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.1"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,
diff --git a/lab-windows/scratch.ipynb b/lab-windows/scratch.ipynb
index ddd2455..93a11fe 100644
--- a/lab-windows/scratch.ipynb
+++ b/lab-windows/scratch.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,13 +27,62 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-25-f95a3be8874f>:1: 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": "712481c28d9d4e1d874a66d31c3e8bff",
+       "model_id": "62a620e3551e46c38fb0d0e017b8e357",
+       "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"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f731d79f2b0>]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.plot([797, 813, 869, 971, 1128, 1298, 1461, 1609, 1750, 1826, 1881, 1860, 1789, 1695, 1552, 1360, 1209, 1048, 921, 832, 803, 812, 870, 972, 1125, 1284, 1461, 1618, 1757, 1834, 1835, 1861, 1795, 1685, 1545, 1383, 1217, 1046, 908, 832,\n",
+    "  800, 815, 864, 993, 1084, 1296, 1453, 1613, 1746, 1833, 1875, 1859, 1794, 1693, 1542, 1352, 1211, 1049, 916, 833, 800, 810, 875, 992, 1144, 1300, 1447, 1606, 1735, 1836, 1846, 1869, 1811, 1701, 1557, 1375, 1208, 1060, 936, 836, 805,\n",
+    "  796, 877, 986, 1134, 1288, 1458, 1613, 1737, 1847, 1865, 1867, 1792, 1688, 1556, 1373, 1209, 1049, 928, 827, 792, 821, 869, 972, 1122, 1295, 1457, 1595, 1745, 1847, 1877, 1867, 1789, 1683, 1539, 1378, 1210, 1047, 917, 833, 817, 821,\n",
+    "  869, 977, 1128, 1299, 1458, 1630, 1711, 1833, 1833, 1869, 1800, 1715, 1545, 1375, 1217, 1060, 917, 841, 812, 826, 878, 985, 1128, 1280, 1452, 1612, 1739, 1827, 1892, 1864, 1793, 1700, 1547, 1375, 1212, 1054, 921, 829, 795, 809, 869,\n",
+    "  990, 1077, 1284, 1459, 1616, 1753, 1864, 1874, 1865, 1807, 1696, 1543, 1390, 1274, 1047, 926, 831, 804, 806, 872, 987, 1100, 1278, 1447, 1604, 1743, 1831, 1879, 1849, 1780, 1660, 1540, 1389, 1176, 1064, 928, 828, 812, 809, 875, 983,\n",
+    "  1128, 1285, 1456, 1611, 1739, 1889, 1879, 1879, 1793, 1680, 1546, 1381, 1215, 1074, 926, 842, 794, 857, 859, 978, 1123, 1290, 1427, 1607, 1737, 1835, 1882, 1861, 1815, 1694, 1532, 1375, 1202, 1050, 928, 822, 802, 810, 854, 990, 1119,\n",
+    "  1292, 1455, 1619, 1738, 1827, 1871, 1847, 1800, 1693, 1551, 1379])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fb0ad935348d4b3dab1c3548b9cfd628",
        "version_major": 2,
        "version_minor": 0
       },
@@ -50,7 +99,7 @@
        "(0, 64)"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -281,7 +330,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.1"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,