Debugging signal capture subsystem

1 files changed, 249 insertions, 2 deletions

diff --git a/lab-windows/scratch.ipynb b/lab-windows/scratch.ipynb
index 93a11fe..da795fd 100644
--- a/lab-windows/scratch.ipynb
+++ b/lab-windows/scratch.ipynb
@@ -2,12 +2,14 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "import json\n",
     "import csv\n",
+    "import re\n",
+    "import math\n",
     "\n",
     "import numpy as np\n",
     "from matplotlib import pyplot as plt\n",
@@ -18,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,6 +29,251 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_freq_log(fn):\n",
+    "    with open(fn) as f:\n",
+    "        def parse_freq(f):\n",
+    "            try:\n",
+    "                return float(f)\n",
+    "            except:\n",
+    "                return 0\n",
+    "        freqs = np.trim_zeros(np.array([ parse_freq(line.split()[1]) for line in f.readlines() if re.match('\\d+: .*', line) ]))\n",
+    "        return freqs[np.nonzero(freqs)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-64-bdef8329a3e8>: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, axs = plt.subplots(2, 2, figsize=(15, 9))\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c040d7b8285a4444abc23ec0ef8c0d45",
+       "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, axs = plt.subplots(2, 2, figsize=(15, 9))\n",
+    "ax1, ax2, ax3, ax4 = axs.flatten()\n",
+    "\n",
+    "freqs_mod, freqs_clean, freqs_clean_gnd = read_freq_log('/mnt/c/Users/jaseg/shared/dsss_test.log'), read_freq_log('/mnt/c/Users/jaseg/shared/dsss_test_50hz_clean.log'), read_freq_log('/mnt/c/Users/jaseg/shared/dsss_test_50hz_clean_gndtest.log')\n",
+    "\n",
+    "ax1.plot(freqs_mod)\n",
+    "ax1.grid()\n",
+    "\n",
+    "ax2.plot(freqs_clean)\n",
+    "ax2.grid()\n",
+    "\n",
+    "ax4.plot(freqs_clean_gnd)\n",
+    "ax4.grid()\n",
+    "\n",
+    "w = 512\n",
+    "\n",
+    "ax3.psd(freqs_mod[:80000], w, 100/128 * 10)\n",
+    "ax3.psd(freqs_clean[:80000], w, 100/128 * 10)\n",
+    "ax3.psd(freqs_clean_gnd[:80000], w, 100/128 * 10)\n",
+    "None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_raw_log(fn):\n",
+    "    with open(fn) as f:\n",
+    "        vals = np.array([ int(x, 16) for line in f for x in line.partition(':')[2].split() ])\n",
+    "        return vals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f5f37f4970ae4d0fb5677c55045c6ebf",
+       "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, axs = plt.subplots(2, 2, figsize=(15, 9))\n",
+    "ax1, ax2, ax3, ax4 = axs.flatten()\n",
+    "\n",
+    "raw_50hz, raw_silence = read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_50hz_clean.log'), read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_silence_clean3.log')\n",
+    "\n",
+    "ax1.plot(raw_50hz)\n",
+    "ax1.grid()\n",
+    "#for x in range(0, len(raw_50hz), 128):\n",
+    "#    ax1.axvline(x, color='red', alpha=0.3)\n",
+    "\n",
+    "ax2.plot(raw_silence)\n",
+    "ax2.grid()\n",
+    "#for x in range(0, len(raw_silence), 128):\n",
+    "#    ax2.axvline(x, color='red', alpha=0.3)\n",
+    "\n",
+    "w = 16384\n",
+    "\n",
+    "ax3.psd(raw_50hz, w, 1e3)\n",
+    "\n",
+    "ax4.psd(raw_silence, w, 1e3)\n",
+    "None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "eba72dea09bc45ff9de68cb22b352fb3",
+       "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(figsize=(12, 6))\n",
+    "\n",
+    "raw_silence = read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_silence_clean.log')\n",
+    "raw_silence2 = read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_silence_clean3.log')\n",
+    "\n",
+    "raw_silence = raw_silence.reshape([-1, 128])\n",
+    "le_mean = raw_silence.mean(axis=0)\n",
+    "ax.plot(le_mean - np.mean(le_mean))\n",
+    "\n",
+    "raw_silence2 = raw_silence2.reshape([-1, 128])\n",
+    "le_mean2 = raw_silence2.mean(axis=0)\n",
+    "ax.plot(le_mean2 - np.mean(le_mean2))\n",
+    "ax.grid()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-90-5a220009d359>: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, axs = plt.subplots(2, 2, figsize=(15, 9))\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d9143b226974466aaec05a70592ac69e",
+       "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, axs = plt.subplots(2, 2, figsize=(15, 9))\n",
+    "ax1, ax2, ax3, ax4 = axs.flatten()\n",
+    "\n",
+    "raw_d, raw_e = read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_test_d.log'), read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_test_e.log')\n",
+    "\n",
+    "ax1.plot(raw_d)\n",
+    "ax1.grid()\n",
+    "\n",
+    "ax2.plot(raw_e)\n",
+    "ax2.grid()\n",
+    "\n",
+    "w = 16384\n",
+    "\n",
+    "ax3.psd(raw_d, w, 1e3)\n",
+    "ax4.psd(raw_e, w, 1e3)\n",
+    "#ax3.psd(raw_silence, w, 1e3)\n",
+    "None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-79-e66d1dcc2be5>: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(figsize=(9, 5))\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "48b1d8b994594af79c3dca2bf9a6fb41",
+       "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(figsize=(9, 5))\n",
+    "\n",
+    "raw_c = read_raw_log('/mnt/c/Users/jaseg/shared/rawlog_test_c.log')\n",
+    "\n",
+    "ax.plot(raw_c[1000:2000])\n",
+    "ax.grid()"
+   ]
+  },
+  {
+   "cell_type": "code",
    "execution_count": 25,
    "metadata": {},
    "outputs": [