notebooks/nz_wifi.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "12915353-cdc6-4878-9bc5-67b94ac61976",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import data\n",
    "import wifi_label_utils\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4c269b91-b59d-469b-bc91-d48048b42bb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def label_regular_wifi(filename, annotate=True, debug=True):\n",
    "\n",
    "    avg_window_len = 256\n",
    "    \n",
    "    data_obj = data.Data(filename)\n",
    "\n",
    "    # use a seconds worth of data to calculate threshold\n",
    "    iq_samples = data_obj.get_samples(n_samples=int(data_obj.metadata[\"global\"][\"core:sample_rate\"]*1))\n",
    "    avg_pwr = wifi_label_utils.moving_average(iq_samples, avg_window_len)\n",
    "    avg_pwr_db = 10*np.log10(avg_pwr)\n",
    "    guess_threshold = (np.max(avg_pwr_db) + np.mean(avg_pwr_db))/2\n",
    "    print(f\"{np.max(avg_pwr_db)=}\")\n",
    "    print(f\"{np.mean(avg_pwr_db)=}\")\n",
    "    print(f\"{guess_threshold=}\")\n",
    "    \n",
    "    if debug:\n",
    "        plt.figure()\n",
    "        plt.plot(avg_pwr_db[int(0*20480000e-2):int(30*20480000e-2)])\n",
    "        plt.axhline(y = guess_threshold, color = 'r', linestyle = '-') \n",
    "        plt.show()\n",
    "\n",
    "    if annotate:\n",
    "        wifi_label_utils.annotate_power_squelch(data_obj, \"wifi\", guess_threshold, avg_window_len, skip_validate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b843bb50-a9dd-40b5-b2ca-882507c43257",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-8.933908413224858\n",
      "np.mean(avg_pwr_db)=-46.27156475714496\n",
      "guess_threshold=-27.602736585184907\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-39.3077209429081\n",
      "np.mean(avg_pwr_db)=-62.42787720280997\n",
      "guess_threshold=-50.86779907285903\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-9.989868885860973\n",
      "np.mean(avg_pwr_db)=-45.61780186068181\n",
      "guess_threshold=-27.80383537327139\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-45.98793362916129\n",
      "np.mean(avg_pwr_db)=-61.82342723046276\n",
      "guess_threshold=-53.90568042981202\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-29.376954680494144\n",
      "np.mean(avg_pwr_db)=-62.68461624602445\n",
      "guess_threshold=-46.03078546325929\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-30.581645639871997\n",
      "np.mean(avg_pwr_db)=-59.50510678287784\n",
      "guess_threshold=-45.04337621137492\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=0.762691534083048\n",
      "np.mean(avg_pwr_db)=-27.386191262526072\n",
      "guess_threshold=-13.311749864221513\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain40_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-10.24671193936767\n",
      "np.mean(avg_pwr_db)=-45.87227157945953\n",
      "guess_threshold=-28.0594917594136\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain20_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-30.02308429854636\n",
      "np.mean(avg_pwr_db)=-60.0929645751149\n",
      "guess_threshold=-45.05802443683063\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-40.012827764824934\n",
      "np.mean(avg_pwr_db)=-62.609609292467\n",
      "guess_threshold=-51.311218528645966\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain10_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-55.56393814979735\n",
      "np.mean(avg_pwr_db)=-64.01792410199589\n",
      "guess_threshold=-59.79093112589662\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain20_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-46.53938361024998\n",
      "np.mean(avg_pwr_db)=-61.9189921403089\n",
      "guess_threshold=-54.229187875279436\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain10_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-55.85497445861251\n",
      "np.mean(avg_pwr_db)=-64.08228690589502\n",
      "guess_threshold=-59.96863068225376\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain40_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-28.88791983925752\n",
      "np.mean(avg_pwr_db)=-62.51456757716046\n",
      "guess_threshold=-45.70124370820899\n"
     ]
    },
    {
     "data": {
      "image/png": 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hqRQAgIpxeVBZsmSJli5dqoULF2rJkiWljhMSEqLw8HBXlwIAANyMSw/9HD16VKNGjdIHH3ygmjVrljne0KFDVa9ePfXo0UNffPFFudPMzc1VVlaW0wMAAHgmlwUVu92uESNGaPTo0erSpUup49SuXVszZszQxx9/rMWLF6tHjx4aNmxYuWElPj5eQUFBjkdkZKSr/gUAAGCwSh/6mTBhgl544YVyx9m1a5eWLl2q7OxsTZw4sczxQkNDNW7cOMfzrl27Ki0tTQkJCRo6dGip75k4caLTe7KysggrAAD8lsXoAi6PSgeV8ePHa8SIEeWOEx0drZUrVyoxMVFWq9VpWJcuXXTnnXdq7ty5pb43NjZWy5YtK3PaVqu1xDQBAIAzD8kplQ8qYWFhCgsLu+R4r776qp599lnH87S0NA0cOFALFixQbGxsme9LSkpSREREZcsCAAAeyGVn/TRu3Njpee3atSVJzZo1U6NGjSRJc+fOlZ+fn2JiYiRJn3zyiWbPnq133nnHVWWZgp0rqQAAUCHVch2V8kybNk0HDx6Uj4+PWrVqpQULFuiWW26p/IRyciRv78tfoAtYcs6qRt65iy/k5BhXDKqN03cuufx7t+SccczTmuvLcmZi7rw+sJzJKbacnXW7+j2Z99mL6wBLTo6UY7KDQRVcVix2u3tffiwrK0tBQUHKlBRodDEAAKBCsiQFScrMzFRgYNlbcO71AwAATMvwQz+XTVqaVE4iM5O0U2fVb8Zqx/Nd0wYZWA2qS+unvnZ67urv/fDJM+o/c40kqWV4gD4b092l80PVFV823G19sONwpm59K1GS1L15iN4Z3tXginDBwk2/6MnPdkiSFv2th5rVq21wRb+RlSU1aHDJ0TwnqNSqVfRwA/Z8L53187/4gpvUjd/H6TuXXP692/MsjnnmWmuwnJmYO68P7DULHPWf82M5M5PCGjUd3429Vk3zfTeFhRUajUM/AADAtAgqAADAtAgqBnDzE60AAG7GnTc7BBUAAGBaBBUAAGBaBBUDuHMTHAAUxy1B4GoEFQAAYFoEFQAAYFoEFQAAYFoEFQAAYFoEFQPQmRaAJ6JjLVyBoAIAAEyLoAJcAbgaMlyFRQuuRlABAACmRVAxAMdxAQCoGIIKAAAwLYIKAAAwLYIKAAAezp07HBBUAABV5s4bQLgHgooBOJ0PAICKIagAAADTIqgYgAYVAJ6I1mJz8ZRLYRBUAACAaRFUDMDlzAEAqBiCCgAAMC2CCgCgymghdg/u/DURVAAAgGkRVAzgxsEWAIBqRVABAACmRVABAMADHT551vF3oc192/IJKgAAeKBzBTajS7gsCCoAAMC0CCoGcOfTxACguOKrM9ZtcAWCiiH4NQMAXMtTrnHj0qDSpEkTWSwWp8f06dOdxtm2bZt69uwpf39/RUZG6sUXX3RlSQAAXBEsFovRJVwWPq6ewdSpUzVq1CjH84CAAMffWVlZGjBggPr376+33npL27dv17333qs6dero/vvvd3VphvGQkAsAMLHiMcWd76Ts8qASEBCg8PDwUofNmzdPeXl5mj17tvz8/NS2bVslJSVp5syZHh1UAABAxbi8j8r06dMVEhKimJgYJSQkqKCgwDEsMTFRvXr1kp+fn+O1gQMHKjk5WSdPnix1erm5ucrKynJ6AAAAZ+7bhuLMpS0qDz/8sDp16qS6devqhx9+0MSJE3XkyBHNnDlTkpSenq6mTZs6vad+/fqOYcHBwSWmGR8fr2eeecaVZQMAAJOodIvKhAkTSnSQ/e1j9+7dkqRx48apd+/e6tChg0aPHq0ZM2botddeU25ubpULnjhxojIzMx2P1NTUKk8LAPD70OfOPbjz91TpFpXx48drxIgR5Y4THR1d6uuxsbEqKChQSkqKWrZsqfDwcB09etRpnAvPy+rXYrVaZbVaK1s2AABXFM8456cKQSUsLExhYWFVmllSUpK8vLxUr149SVJcXJwmTZqk/Px8+fr6SpKWLVumli1blnrYx1O4cbAFALgJT9nWuKwzbWJiol5++WVt3bpV+/fv17x58zR27FjdddddjhByxx13yM/PTyNHjtRPP/2kBQsW6JVXXtG4ceNcVRYAAHAjLutMa7VaNX/+fE2ZMkW5ublq2rSpxo4d6xRCgoKCtHTpUo0ZM0adO3dWaGionn76aY8/NdmdjxUCQFnc+VodMC+XBZVOnTpp3bp1lxyvQ4cOWrt2ravKMCV+zAAAVAz3+gEAwANxrx8AAGghNi0PySkEFQAAYF4EFQAAPJw7t64QVAAA8EBunE2cEFQAAPBw7ny2KUHFAO7cBAcAcA+ecgl9gooBCCoAgOrkztsdggoAoMrceQPo6TzlqyGoAAAuC0ILXIGgYgB37tQEAHA/7rzVIagAAOCB6EwLAABMy51bUYojqAAAANMiqAAAANMiqBiAnvEAPAWrM7gaQQUAAA9nd+M9ZIIKAAAeyI2ziROCCgAAMC2CCgAAMC2CCgDgsvCQIw0ew1Ougk5QMYCnHDcEALgHd97sEFQAD0UgRnVgOTMvi4dcRJ+gYgBPaY4DAMDVCCoGYA8EAICKIagAAOCBirfeu/MOMkEFAAAP5BxO3DepEFQAAPBwtKgAAK5I7nwPGU9n8YyTfggqAAB4Ik/JkAQVAABgWgQVAMDl4SF78DAXgooB+C0DAKqTO293CCoGsHnKgUMAAFyMoAIAAEyLoAIAqDLah+FqLg0qTZo0kcVicXpMnz7dMTwlJaXEcIvFonXr1rmyLAAA4CZ8XD2DqVOnatSoUY7nAQEBJcZZvny52rZt63geEhLi6rIAALhiuHPXSJcHlYCAAIWHh5c7TkhIyCXHAQAAVx6X91GZPn26QkJCFBMTo4SEBBUUFJQYZ+jQoapXr5569OihL774otzp5ebmKisry+kBAAA8k0tbVB5++GF16tRJdevW1Q8//KCJEyfqyJEjmjlzpiSpdu3amjFjhrp37y4vLy8tXLhQw4YN02effaahQ4eWOs34+Hg988wzrizb5dy5CQ4AgOpU6aAyYcIEvfDCC+WOs2vXLrVq1Urjxo1zvNahQwf5+fnpgQceUHx8vKxWq0JDQ53G6dq1q9LS0pSQkFBmUJk4caLTe7KyshQZGVnZfwMAAI/mKTeMrHRQGT9+vEaMGFHuONHR0aW+Hhsbq4KCAqWkpKhly5ZljrNs2bIyp221WmW1Witcrzl5xsIDAMW3hXbWbablzqGl0kElLCxMYWFhVZpZUlKSvLy8VK9evXLHiYiIqNL0AQBASe4bU1zYRyUxMVHr169Xnz59FBAQoMTERI0dO1Z33XWXgoODJUlz586Vn5+fYmJiJEmffPKJZs+erXfeecdVZZmCGwdbuCmWOeDKY7FYjC7hsnBZULFarZo/f76mTJmi3NxcNW3aVGPHjnXqXyJJ06ZN08GDB+Xj46NWrVppwYIFuuWWW1xVFgAAVwR3PtxTnMuCSqdOnS55hdnhw4dr+PDhrioBAAC4Oe71AwAATIugYgDPaIwDALgLdz4KRFABAFQZpyS7B3f+nggqAAB4IJv7ZhMnBBUAAGBaBBUDuPOxQgAAqhNBBQBwWbATZmJu/N0QVAAAgGkRVAzgKVcLBADA1QgqAICqY78LLkZQMQC/awCAq7nztVOKI6gAAADTIqgAAODh3LlthaACAIAHssji+Nudz+EgqBjAnRcYAIB7oI8KAACAixFUAABV5hn77DAzggoA4LIgtJiXOx8GIqgYwJ0XGAAAqhNBxQjkFAAAKoSgAgCAB/KUM0wJKgAAwLQIKgAAeDh3bl0hqBjAjZcXAHDizhtAuAeCCgAAHs6d8yRBBQAAmBZBxQA0lQIAUDEEFYNZLJceBwCAyvKUfWKCisFoXQHgKeys0Eyl+Nfhzt8NQQUAAA/kKS32BBWgmnjKSgMojnuXuQd3/pYIKgbgh31lcuOWVwBuyFPWOQQVA3jKwgMAgKsRVAAA8HRuvINMUDGAGy8vAAA34Sn94ggqBvOUBQnmRr8o4MrjKd0MCCoAAHgkz0gqLg0qixcvVmxsrGrUqKHg4GANGzbMafihQ4c0ZMgQ1axZU/Xq1dPjjz+ugoICV5ZkOp6SeAFcmViHwdV8XDXhhQsXatSoUXr++efVt29fFRQUaMeOHY7hhYWFGjJkiMLDw/XDDz/oyJEjuueee+Tr66vnn3/eVWUBAHDFcefDvy4JKgUFBXrkkUeUkJCgkSNHOl5v06aN4++lS5dq586dWr58uerXr6+rr75a06ZN0xNPPKEpU6bIz8/PFaUBAFzEfTeFMDOXHPrZvHmzDh8+LC8vL8XExCgiIkKDBw92alFJTExU+/btVb9+fcdrAwcOVFZWln766acyp52bm6usrCynBwAA8EwuCSr79++XJE2ZMkVPPvmkFi1apODgYPXu3VsZGRmSpPT0dKeQIsnxPD09vcxpx8fHKygoyPGIjIx0xb/gUu58cygAAKpTpYLKhAkTZLFYyn3s3r1bNptNkjRp0iTdfPPN6ty5s+bMmSOLxaKPP/74dxU8ceJEZWZmOh6pqam/a3pGIKYAAFAxleqjMn78eI0YMaLccaKjo3XkyBFJzn1SrFaroqOjdejQIUlSeHi4NmzY4PTeo0ePOoaVxWq1ymq1VqZs8yGpAPAQrM7My1Ma7ysVVMLCwhQWFnbJ8Tp37iyr1ark5GT16NFDkpSfn6+UlBRFRUVJkuLi4vTcc8/p2LFjqlevniRp2bJlCgwMdAo4AADg93Hn0OKSs34CAwM1evRoTZ48WZGRkYqKilJCQoIk6dZbb5UkDRgwQG3atNHdd9+tF198Uenp6XryySc1ZswY928xAQAAl4XLrqOSkJAgHx8f3X333Tp79qxiY2O1cuVKBQcHS5K8vb21aNEiPfjgg4qLi1OtWrU0fPhwTZ061VUlAXBDG1MyZPXxVvtGQUaXAsAALgsqvr6+eumll/TSSy+VOU5UVJS++uorV5UAwM2dzMnTLW8lSpIOxF8vCzfHAiqs+OEedz70w71+AJjW8dO5RpcAeAQ3zikEFQDmdepMvuNvd94jBIzmztfvIqgYwJ3vuVDcgRM5iv9ql45ns9cL10hOv3jl6cOnzhpYCcpSfAPoxttCDXvjezX/x1duvUH3VAQVA3jK76DPS9/q7TX7dd/cH40uBR7q3e8OOP7+ds9xAyuBJ8s+l6+k1FMqsNm1cPNho8u5bDxlp5igAp3NK9SibWnKPpd/6ZHPK77XsfWXTFeU5TJr9hxX9+kr9cPPJ4wuBZeQ8usZx98vfr3bwErgyTYdPOn4+7GPtxpYSZGsSqyLy2PzjJxCUKmoz5MO68H/bNKZvILfPS2ztahM+nS7Hvpwi0b/Z1OF3/PltiMurMi17pm9QYdPndUd76w3uhRUQva53//bw5UrNeOMHv94q/YczS4xbMQc87QKv75yrzpMWapPNv9idCmmQVAph81m16j3N+rZRTv1yPwkLdmRrtnFmqI9xSdbipo6v//51wq/Z9XuY64qR5KUnnlOeQU2l85Dks7kFejjjan61QPPLjmWfc7oEoBqcejXM/p0yy8qLKcJ4b65G/Xxpl904+vfV2NllffS0j2SpAmfbL+s0zXZ/nGlEFTKYLPZ9e+1+7Vs51G9UyycZORcnia54lzReet0boFSMy42m9tsdv113ia9snxvhafx3d4T6p2wSuv2lwwwn25x3XHcjSkZuiZ+hVo8uaTEsMp8VgWFNqVnlr+xnvrlTj3+v22606DWlSc/264n/retQuN+m3xM4xYkVfgQ3c1vJv6e0kxr08GTuvvd9aXuGUvSO2v365/L9pR4PfNsvvYfP13qe87lF+r1lXu1My2r1OHFubqzpd1u1+2z1un+9zdW+r02m/2K7NzeK2GVxi7Yqo82Ot+k1m6365uf0vXLyTNKPr+8nM0vNKJErdx9VD1fXKkfUzIqNL7XZbhk0KUW1SOZZ/Wvb3/WyZy83z8zFyKolOG5r3YpfknJY+I70i5/f4yFmw/ru70l+0v8fOy0+s34Vs8t3ilbJQ82dntuuXq+uEoHTuTIbrfr+30n9NX2dP1zeckVePEfRG7BxR/xXe+uV8qvZ/R/s9Zdcn7Xxq8otbUpcd+vGvTyGj304WYdz86VzWZXQWH5LSXPfbXL8bfdbtfGlAztOJyp49m5in1+haYX+17sdrtWJR9zaj2w2+2a+0OKWjy5RNfEr9Ary/c6/V/FfbW96BDW7vTSN3qVlV9oq/Dx5dO5BfrPukNasDG1Qq0fI+b8qE+2HNY/l5UdNvMKbEpOz67wxvRS47lio1zehtRut+vc+Q3J5kMnSx3n5jd/0Nq9J/SXUprr8wttenbxLr2yYq8mf77DaVinacvUd8ZqvfD1br26Yq/yiy2H/1r1s15aukfXv7q2RD2/nf6QV7/To/O3lP9P/g4HTuQocf+vWrrzqKNVMSMnr0LrgPs/2KSuzy3XTf/6vszx8wpsemftfiX/ZpkvtNkvGewveG3FXrV5+usKb3Qvp0O/nikzcK7/zU7VV9vT9cAHm9TjhVXVUVq57n1vo1IzzurWtxK17ZdTlxzfu4IXN9yZlqWXl+/R/A2HNO6jpEq1RN8+a51e/DpZYz9KKnX4kcyz+mJr2iXX2a7msivTurt3yzjEs+HAxR9m9rl8ncu3KSyg/HsT/ZiSobV7T+jPXRpp+y+ZWpXsfNjkQuetlOlDnF7/67xN2nc8R/uOH5CXxaK+reopNjrEMfxo1jmtTj6uoVc3kL+vt9N7z+QVrey/2n5EHyQelK/PxYV+zZ7jmvTZdgXX9NOD1zVz6nDVf+Zqrf1733L/n+mlBLi0zHOaumin7u3R1On12/9dFHJ2p2dr0fl+LaG1rfp+Qh/lFti0KeWkelwVKh8viywWi07m5KlpSC1tOXRKkjRy7katPH+Yqaaft87kFeqt1ft0Z2xjJXyTrHoBVkeL1/9Gx6lLk7r6ctsRTf7iJ0cN/1y+R2mnzuqFWzqUqNu7WErbezRbL6/Yq7H9W6h5vdqSpF1HspRXYFPHyDqSijZc/1l/SPuOndbkG9qcf03yOj+dgS+v0f7jOdowqZ/SM8/pvxtSNfYPV6legH+JeRcWXvzgn/jfNj3Ut7k6R9V1vJaUekrPL96lSUNaK6LOxfev2H1UT9/QRnkFNnlZJB/vi/sbo97fqNUVPDtm8uc79MG6g2rXMEjjB7TUdS2cbzg6YeE2/ZiSocUP9yyxfJWloNCmz5LStONwph64LloRQTWUW1AoHy8veXtZ9M7a/Xp28S6N/0MLPdi7mbo8t1yxTesqPStXTUNq6rOkNEnShkn9dNO/fih3XmmZRacrf7j+kP7x6Xa1Cg/QmD7NHcPnJh7UMze2czy/cFjgzW/3SZL+9e3P2jV1kCwWi7YdLrkDMnZBkrYfztQHI7spPNBfFotFift+1c4jWdp5JEsz/ny1dqZlqXVEgHy8vXTgRI6+3JqmEd2bKNDfV5L06oq92n/8tP5529XanZ6tQptd7RqWfyuA4ocvWjy5RFEhNXXw1zO6rkWY5t7bTVtTT+nHlAzd272pY7mTijrFL99VdAf6zYdOaeIn2zWwXX31bVXfafr/XrtfCd8kS9qllOlD9O81+/XcV7sUWttPJ07n6Y07Omnh5l+UfS5f3ZuH6uG+V+mfy/doVfIx9WlZT31b1dOM8y1Wt72dqHdHdHWafuaZfOUWFKpe4MVldsn2I/os6bBevKWjgmr4Oo1vt9srfMXhQptdvRKKQsff+jZXyq9nNKR9hGO4zV7UOnZhed1woOKHsy8lt6BQ3haL0+/tUk7nFsjq41XikNTQ179Xt6Z1NePWjsrJK1DL+gGyWCyOkC7J6bstS9a5/BLhulPjYN3WNVI/pmSU2EGz2eya/f0BdYoKVqC/r6Oz+rfJJdcZZ/MKFRe/UpKUULfGJbcLrkRQqYLm//hKw2Ia6n+bijo7/bFDhOrW8lPbBoF6YuF2rf17H/n5eMnP20v+vt669fwlwF9dUf5hl+T0bD0yf4t2p2crOqyW9h/PcQx7e81+vb1mv4a0j9Drd8TIYrFo6Ovf6WhWrpKPZuvR/lfpbF7RyqH43kbRCsnZPbM3SJJSM87qwXmbnYalZpzVsp1HNeo3zc4707JUP9CqWlYfvbV6X5n/Q2rGGX29I103xjRQRhnNiSdO5+rb5ON64IOizrs9modq3/HT6tiojr7+Kd1p3JXF+sJcCF+S1PPFkntIt7yVqJTpQ/Twf0vu7S7YmKoXbumgG177zun1k8UuKPaHf66RJC3edkTr/9FPXySlOVp3tk8ZoAB/Xz26IEmfn9+YXtciTO98t18ZOfla9Lce8vayOL6zbs+tcEz3vxsO6a27OpWoae+xi3u0q5KPa1XycR2Iv145eYW69a1E7TpSdBjixjecj6kf/PWMthw6qXvf+1E+3l4aHhflOK5dlj1HTysjJ08frj+oNg0C1bdVfc1NPChJ2vZLpobP3qC37+6sxz/eqsAavnrvL101/8eiZvRWT32tnVMHqqbfxdVFoc2uX06eUVRILUlFYTyvwOZ0CO29H1IUHuiv9KyivfSn/9hGzy4u+jxnLNujvcdO69SZfH3zU9HGdWvqKcd7//RG+SFFKgqIL3y92xE8dqdn62+lfPepGWecAukF5/Jtmv19ikZc26TUJvILhzcvrKxvimmohsE1HMPjv9qld747oLuuaaxnh7XXgH+uVn6hXakZZ5Rwa0elnMjRzPMb9D6t6umR+UmSpB3PDNS6fb9q7d7j2n8iRw/3u8ppvusPOLdSHDy/MVm957h++PmEoxO43S6N6hWtjJw8bT+cqT2/aSFZsDFVCzam6s9dGum2ro3VsE5R7cXXCTvTshzL+InTRb/XMR9eXCf8mHJSLxc7XLzjcJZeW/mz43lpjTYdpy6VJM2//xrZ7HaF1LI61jMB/juVV2BTaG2rnvpjaz23eJe+2n5EXz3SU59tOaz/bkjV3Hu7KTzoYsj5avsR/XXeZs0Z0VVXn99hkOSo48utaY7Xvtiapi/OP//wvthyA9DhU2c1+oNNJVqWpKLDrH4+Xnp95c+qZfVR/UCr/rPukBrWqaHvJ/TVsexzCqttlcVi0fKdR/XcV7s0+YY26hQVrKRDp9SlSbDyC+zqOHWpGtapUeo1gDYcyHBaj337WG+9UOzMtuxzBfoxJUNdm9R1et/8DYc04ZPtevPOTiXW35J0LDtXT322w/H7vSA985y+3Jbm+A2W5kJoPHzqrLpPX+l4PTXjrH4+dtqxA1fdLHY3v7pNVlaWgoKClJmZqcDAwMs23SYTFl+2aV1uwTV91TikltOK/YKuTYL1Y0rpTeZXgpE9mpbZGnZTp4b6pIrXSLgjtrECrD56e83+Uod/82gvZZ7N15/f/n39Qny9LbLZVW6nwMuhrJVneVY91luN69bUne+s07r91d/kLxW1Olbmt/m3vs2dNqyluapebe09djHc398rWrPK+J7LciD+ejWdePG+ZcPjohxB8Lf+2CHC0bpYmqp8N56mX6t6imsWUu5GtSJCa1t1opSO8oPbhWvJjvRS3nFpU29sq6c//6nccbpEBSuybs3L0pfvjTs6OcJjgNVH2bmuPfvtuhZhSjt11uk3IUkL7r/GqUX/cqjo9pugUgYzBxXACC3rB2hUr2hDrzPx5JDWv3vjBaDy5t9/ja4xKKjQmRZAhSQfzTb8YliEFMAYpw28jhFBBQAAlKv42ZjVjaACAADKdeBEzqVHchGCCgAAMC2CCgAAMC2CCgAAMC2CCgAAMC2CCgAAMC2CCgAAMC2CCgAAMC2CCgAAMC2CCgAAMC2CShnG9GlmdAkAAJhC3GW+IWFlEFTK8Gj/FkaXAACAKRTa7IbNm6BSBl/v8j8aX2+Lgmr4VlM15nJ9+/AKj5syfYj+1rd5hcatH2itakkox00xDY0uoVLu69HU6XmA1cegSnClCanlZ3QJptWgjr9h8yaoVMGANvW197nrtenJ/nrgumjddU1jdY4KdhqnSUhNzflL1yrP46VbO1ZovE1P9td/R12jxIl9tXXyAKdhe58brD3PDtbWyQM07g8tNKZPM10dWafc6b07vItCazsHhtWP93Z6/ur/xTg9n3xDG30wspvj+V97N9Mf2tTXu8O7SJLGD2hZof8lcUI/x983Xt2gzPFe+b+r1bxe7QpN87ceH1hUS3RYLT0ztG2Z4/0ppqFSpg9xeu3tuzsrZfoQJdzSoVLznPnnjjoQf722Pj1AK8ZfV+H37Xl2sJKe/oNSpg9Rwzo1KvSevw8q+VmP7n3xMOZN5/+vA/HXa+9zgzX//mtKnW9Z5ozoqjfv7KQHekVfspa37upcoZp/68k/ttGax/to81NF//v2ZwaqR/PQS77vgeui5e1lqdI8f48PR8Vqw6R+Tq9d2OB1jKyj+Jvaa/m4kt/7b5evynr5tqsrNX5wzYs7Vi/d2rFKn1XHYuuPVY/1dvxd/Pf/W31b1dP9vaJ1b/emuq1LpOP15GcHadfUQZec58IH4xx/D2hTX7d3i1TL+gEVqvetuzrpq4d7Or1Wp6avOjWuo0V/6+H0+p9iGmrjk/0rNN1Lmfnnjrq2WclDJa/dHqN74qIkSffERen/ukbqTzENddc1jfXByG5KuKWDHuz9+7sd1A+0ql3DwAqPP+LaJuUO9/P20lN/bPM7q6o6dlXK8eVDPfThhoP674ZUp9etvt6SJB9vL00c3FqSZLPZ1fKpJcovtKtZWC39d9Q1qhfor++e6KP75m7U7vRsSVKDIH/d3ytaU77cqT/FNNSnWw6XmO+Pk/orLMCqXi1ClXbqnK6OrKNCm10PfLBJy3cddYy39ekBCqrpq7hiwWLasHZ66rMdRfV5WWSxWOTn46WH+10lSXp8oPTGqp+1/kCGbDa7vvv5hNO8+7Wur28eraOVu4+pYZ0a8vayKCqklmN4/9b15OPt5VjJ2u12WSxFK7wXb+6gb/cc0yP9r5LVx9tpuj2vCtXu9GzdfU2UZi7bI0n6+tGeOnLqnD5POqxnbmwnr2IrTl9vL/n5eCmvwOY0nY1P9ldobatuvLqhzuUX6j/rDurZxbtUL8Cq2SO6KrfApmNZ5zRt0U7FNA7W4u1HFOjvo2dubKs/xTSSVBSCGtapIYvFouSj2fpw/SFJ0tQb22poxwbacCBDPa8Kk1S0Yly686he+b+rNbBtUUvSrV0i1aJ+gG584/sS350kdWtSVx+NjtOxrHM6mHFGXZvUlSQF1fRVUE1fTbmhjTYePKlF246U+v4L/Hy85OdTtMGb85eumvrlTsf3FeDvo0f6XaVdR7K17ZdTSj15Ro/0a6EHezdTtyZ1teXQKe1Kz9LDfa9Sk9CL31+riKIVvMVika+3RddEh+i5P7XTc4t3qVlYbb1wcwf5+Xhp7r3dNHz2Bqd6PnogTt2aFv0vg9tH6IlBrWSz25V26pz+tylVwbX89MyXOx3jD2oXro9Hx2n3kSxtOXRKn5xf1kdc20R3x0Xpf5t+UfOw2rq5cyOlZpzRG6t+1mPng2TjkJpO87YU26Z+9XBPvfPdfmWdLVBM4zoKD/RX24aBahUeqMcGtNQXSWm6plmIuk9fKUka27+FerUIVcI3yRo/oIXO5tm09ZdT2nM0W/1a19fD/91S7vfQuG5NLR3bS4dPnVW/Gaudhk0c3ErXNgvVufxCx2tbnvqDgmv5Of02JGnzU3/QTf/6Xim/ntGH98VKknZOHaj5G1L13c8ntHL3MUlFv9s5f+mq+RtS9W3yMb07oquuiQ6RzWZX9D++kiT1aB6qYTENNSymoRZvO6IxH26WJNX089aZvKJaWoUHONY7krTl6QHad/y0GgXXcPw+H/t4q6SiEB5Sy0+3vJUoSQqq4avNT/1B+YU2vfRNsnYeyVJGTp7+dWcnJadnqbbVV01Da2nf89freHauwoP89dXDPfX05zs08frWuvnNHxzznX5ze9ULKNobzyuwyS67erUIc9TwxUPdNfT1i7+l/c9fr5Nn8lTTz0c+3hb5entpxzMDtXbPcfVuWU81/Ired+jXM+qVsEpS0c7Rv77dp8i6NdQqPFDLdhatJwe1i5BUFNA/2XJYt3WJ1Atl7GjE39ReFotFw65uoM+S0py+z5hpyxzP1/+jn87kFWr8R0ka3C5CvVqEaeDLa5ym1b9NfS396eK6ulPjOpo0pI06RwXrho4N9MzQtk7Lxm91iQrWyLkb1SUqWPUD/bV4+8V1xay7O+vHlAz9e+0BSdLWyQMUVMNXTSYsllT0W1n9eB/5n99O2Wx2ZZ3L15db0/THDg20/0SOHl2wRQ/1aa4eV4U5doJu79ZYQ1//Trnn17lTbmijD9Yd1H/ui1VEUMV2lFzFYrfbjTvwdBlkZWUpKChImZmZCgyseIKsjH3HTztWUK0jAjV7RJdSv7iCQpvO5Bcq0N/5kNCuI1ka/MpaSdLuaYMcC5Akx8LlGHfqIMcPsSw2m91po/5bhTa7LFK540jSPbM3aM2e45Kkh/s2V/829dWhUZ1Sx/0pLVMLfkzVw/2uKtHiUhF2u112e1FN983dqF9zcrVw9LUlanxtxV79Z/1BffrX7jqTV6B56w/p3u5NtXDzLxoe10TBlWyaPZdf6PR5lybrXH6J7+yCQptdv5w84xTWJOnnY6fVf2bRMuFlkeoH+jv2OAa3Cy93JXTBhe++YZ0aeu2OGNWt6afeL30rSerePETz7ivZ2pF5Nl8fJKZoaMeGJTbmFZnXP65vpft7VWyP7aMfU/X3hdsczyvSArD/+Gkt3nZEg9tHOLV6nTqTp4RvknVL50aKaRxczhRK9+mWXzR2QdFG9ZtHe6ll+KX3qHccztSPKRm6J65Jua0HeQU2tXhySYnXVz/eWzvTsnRNdIhjudv2yymF1rbq2vMh6P17u6lXi6JQe+BEjiSpaWitEtOqiM+2HNYLX+/WrLu7qH2joFLH+XJrmmat2a9/3dlJkXUvfv8ZOXmq4eutrb+c0v/NWqdaft76aeogncsv1F/nbVa/1vV0Z2yU07QKbXbNXJas2KYhjv9hZ1qWZq3Zp3F/aFmp5eu35m84pEMZZ/T4wJYV+i20m/yNTucWaMatHXVz50YVmsfhU2cdYXT3tEFKSj2ltg0C9ea3+/Svb/dJurjMnssv1KaDJ9WlSbDTTtSJ07ma8sVPuqNbY11brNXuwu9laMcGevX2GH2edFiPzE+Sn49XiRbH5PTsEkFl19RBOnzqrK5/da3u7d5UEwa3qtD/VJYeL6zULyfPOv6ngkKbvtiaphb1A9SuYdGy8o9Pt+vwybOaM6LrJdf9Zen63HIdz851zMfVKrr9JqhU0G/3jirDZrPrT2/+oFp+3pp3X6zTdIoHldWP9y6xQXSlu99dr7V7i/bQq2OhLK68z/P3fNbV5eCvObou4VtJ0r7nr69SM/o1z69QetY5zfxzR93UqWjlfGF5iIsO0X9LOSxTVRemO/febrru/EapIux2u15amqy2DYJ0ffuIy1ZPZRXa7Gp2vjVh+bheal6vYk3/FbVmz3HlFRSt/L/YWrQ3Xd5vYteRLO05mq2hHRuYblnd9sspNa5bU3Vquk9/C7vdrvSsc5Xecx/3UZJq+flo2rB2jtcSvtmtN1Y5B5XKGvTyGu1Oz9b/Rsepy/kW0U0HT6pJSE2F/GZH7ae0TA159TvHcz9vL+2eNkheXhYVFNrkc4n+jhXRO2GVUn49I8m16+p/r9mv577apf6t6+ud84fuXami228O/VTQ71kZeXlZ9Nlfry11OuGB/krPOqdRPZtWa0iRpElDWmvo69/rr5fhmGhllfd5mm3FX5rGdWtq2NUNFODvW+V+EV8/2lM7j2RVy2l/i/7WQ8np2ep11aX7ehRnsVj0+MDftzd4ubli+bjQotC2YaB2Hcly9CMoS+uIQLWOcN2O0e9RVquomVksliodXpj556tLTku/f/n4/KHuOpaV69Rq9dt+iBe0iQhUaG0/1Q/018ej4+RlsThaNC5HSJGKDjcnfJOsmMZ1Lsv0ynJfz6aKaxaiFhXsA1RdaFEx2LGsc/p2z3EN7djgkocoXOFyJX5cHn+YuVp7j51W/E3tdXu3xkaXYxrF+2dsnzJAAWUcqgMycvI06OU1+mOHBnr6BuM6gF5OBYU2rT+QoY6RdVTbg86C49AP4Iayz+Vr15FsdYkKrvJxZk+VciJHBTbbZT/sA8/jDoePwaEfwC0F+Ps6zqyBsyZV7KSKKw8hxbPQ5g8AAEzLpUFl8eLFio2NVY0aNRQcHKxhw4Y5DbdYLCUe8+fPd2VJAADAjbjs0M/ChQs1atQoPf/88+rbt68KCgq0Y8eOEuPNmTNHgwZdvDphnTp1XFUSAABwMy4JKgUFBXrkkUeUkJCgkSNHOl5v06ZkD+w6deooPLzi944BAABXDpcc+tm8ebMOHz4sLy8vxcTEKCIiQoMHDy61RWXMmDEKDQ1Vt27dNHv2bF3qJKTc3FxlZWU5PQAAgGdySVDZv3+/JGnKlCl68skntWjRIgUHB6t3797KyMhwjDd16lR99NFHWrZsmW6++Wb99a9/1WuvvVbutOPj4xUUFOR4REZGljs+AABwX5W6jsqECRP0wgsvlDvOrl27tHnzZt155516++23df/990sqaglp1KiRnn32WT3wwAOlvvfpp5/WnDlzlJqaWurwC9PJzc11PM/KylJkZCTXUQEAwI245Doq48eP14gRI8odJzo6WkeOFN3psXifFKvVqujoaB06dKjM98bGxmratGnKzc2V1Vr6je+sVmuZwwAAgGepVFAJCwtTWNilb2jWuXNnWa1WJScnq0ePHpKk/Px8paSkKCqq7HtoJCUlKTg4mCACAAAkueisn8DAQI0ePVqTJ09WZGSkoqKilJCQIEm69dZbJUlffvmljh49qmuuuUb+/v5atmyZnn/+eT322GOuKAkAALghl11HJSEhQT4+Prr77rt19uxZxcbGauXKlQoOLroDpa+vr9544w2NHTtWdrtdzZs318yZMzVq1ChXlQQAANwMNyUEAADVrqLbb+71AwAATMvt7558oUGIC78BAOA+Lmy3L3Vgx+2DSnZ2tiRx4TcAANxQdna2goKCyhzu9n1UbDab0tLSFBAQIIvFclmnfeFicqmpqfR/KQOf0aXxGVUMn9Ol8RldGp9RxZjhc7Lb7crOzlaDBg3k5VV2TxS3b1Hx8vJSo0aNXDqPwMBAFvhL4DO6ND6jiuFzujQ+o0vjM6oYoz+n8lpSLqAzLQAAMC2CCgAAMC2CSjmsVqsmT57MJf3LwWd0aXxGFcPndGl8RpfGZ1Qx7vQ5uX1nWgAA4LloUQEAAKZFUAEAAKZFUAEAAKZFUAEAAKZFUCnDG2+8oSZNmsjf31+xsbHasGGD0SWZypo1a3TDDTeoQYMGslgs+uyzz4wuyXTi4+PVtWtXBQQEqF69eho2bJiSk5ONLstU3nzzTXXo0MFx0am4uDgtWbLE6LJMbfr06bJYLHr00UeNLsVUpkyZIovF4vRo1aqV0WWZzuHDh3XXXXcpJCRENWrUUPv27bVx40ajyyoXQaUUCxYs0Lhx4zR58mRt3rxZHTt21MCBA3Xs2DGjSzONnJwcdezYUW+88YbRpZjW6tWrNWbMGK1bt07Lli1Tfn6+BgwYoJycHKNLM41GjRpp+vTp2rRpkzZu3Ki+ffvqxhtv1E8//WR0aab0448/6u2331aHDh2MLsWU2rZtqyNHjjge3333ndElmcrJkyfVvXt3+fr6asmSJdq5c6dmzJih4OBgo0srnx0ldOvWzT5mzBjH88LCQnuDBg3s8fHxBlZlXpLsn376qdFlmN6xY8fskuyrV682uhRTCw4Otr/zzjtGl2E62dnZ9quuusq+bNky+3XXXWd/5JFHjC7JVCZPnmzv2LGj0WWY2hNPPGHv0aOH0WVUGi0qv5GXl6dNmzapf//+jte8vLzUv39/JSYmGlgZ3F1mZqYkqW7dugZXYk6FhYWaP3++cnJyFBcXZ3Q5pjNmzBgNGTLEad0EZ3v37lWDBg0UHR2tO++8U4cOHTK6JFP54osv1KVLF916662qV6+eYmJi9O9//9vosi6JoPIbJ06cUGFhoerXr+/0ev369ZWenm5QVXB3NptNjz76qLp376527doZXY6pbN++XbVr15bVatXo0aP16aefqk2bNkaXZSrz58/X5s2bFR8fb3QpphUbG6v33ntPX3/9td58800dOHBAPXv2VHZ2ttGlmcb+/fv15ptv6qqrrtI333yjBx98UA8//LDmzp1rdGnlcvu7JwPuYMyYMdqxYwfHzEvRsmVLJSUlKTMzU//73/80fPhwrV69mrByXmpqqh555BEtW7ZM/v7+RpdjWoMHD3b83aFDB8XGxioqKkofffSRRo4caWBl5mGz2dSlSxc9//zzkqSYmBjt2LFDb731loYPH25wdWWjReU3QkND5e3traNHjzq9fvToUYWHhxtUFdzZQw89pEWLFmnVqlVq1KiR0eWYjp+fn5o3b67OnTsrPj5eHTt21CuvvGJ0WaaxadMmHTt2TJ06dZKPj498fHy0evVqvfrqq/Lx8VFhYaHRJZpSnTp11KJFC/38889Gl2IaERERJXYAWrdubfpDZASV3/Dz81Pnzp21YsUKx2s2m00rVqzguDkqxW6366GHHtKnn36qlStXqmnTpkaX5BZsNptyc3ONLsM0+vXrp+3btyspKcnx6NKli+68804lJSXJ29vb6BJN6fTp09q3b58iIiKMLsU0unfvXuISCXv27FFUVJRBFVUMh35KMW7cOA0fPlxdunRRt27d9PLLLysnJ0d/+ctfjC7NNE6fPu20p3LgwAElJSWpbt26aty4sYGVmceYMWP04Ycf6vPPP1dAQICjj1NQUJBq1KhhcHXmMHHiRA0ePFiNGzdWdna2PvzwQ3377bf65ptvjC7NNAICAkr0a6pVq5ZCQkLo71TMY489phtuuEFRUVFKS0vT5MmT5e3trdtvv93o0kxj7Nixuvbaa/X888/rz3/+szZs2KBZs2Zp1qxZRpdWPqNPOzKr1157zd64cWO7n5+fvVu3bvZ169YZXZKprFq1yi6pxGP48OFGl2YapX0+kuxz5swxujTTuPfee+1RUVF2Pz8/e1hYmL1fv372pUuXGl2W6XF6ckm33XabPSIiwu7n52dv2LCh/bbbbrP//PPPRpdlOl9++aW9Xbt2dqvVam/VqpV91qxZRpd0SRa73W43KCMBAACUiz4qAADAtAgqAADAtAgqAADAtAgqAADAtAgqAADAtAgqAADAtAgqAADAtAgqAACghDVr1uiGG25QgwYNZLFY9Nlnn1V6Gna7XS+99JJatGghq9Wqhg0b6rnnnqvUNLiEPgAAKCEnJ0cdO3bUvffeq5tuuqlK03jkkUe0dOlSvfTSS2rfvr0yMjKUkZFRqWlwZVoAAFAui8WiTz/9VMOGDXO8lpubq0mTJum///2vTp06pXbt2umFF15Q7969JUm7du1Shw4dtGPHDrVs2bLK8+bQDwAAqLSHHnpIiYmJmj9/vrZt26Zbb71VgwYN0t69eyVJX375paKjo7Vo0SI1bdpUTZo00X333VfpFhWCCgAAqJRDhw5pzpw5+vjjj9WzZ081a9ZMjz32mHr06KE5c+ZIkvbv36+DBw/q448/1vvvv6/33ntPmzZt0i233FKpedFHBQAAVMr27dtVWFioFi1aOL2em5urkJAQSZLNZlNubq7ef/99x3jvvvuuOnfurOTk5AofDiKoAACASjl9+rS8vb21adMmeXt7Ow2rXbu2JCkiIkI+Pj5OYaZ169aSilpkCCoAAMAlYmJiVFhYqGPHjqlnz56ljtO9e3cVFBRo3759atasmSRpz549kqSoqKgKz4uzfgAAQAmnT5/Wzz//LKkomMycOVN9+vRR3bp11bhxY9111136/vvvNWPGDMXExOj48eNasWKFOnTooCFDhshms6lr166qXbu2Xn75ZdlsNo0ZM0aBgYFaunRphesgqAAAgBK+/fZb9enTp8Trw4cP13vvvaf8/Hw9++yzev/993X48GGFhobqmmuu0TPPPKP27dtLktLS0vS3v/1NS5cuVa1atTR48GDNmDFDdevWrXAdBBUAAGBanJ4MAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABMi6ACAABM6/8BgZh5ixbdFqQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_5180000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_5180000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_5180000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_noax_gain60_5180000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=-9.235056712390875\n",
      "np.mean(avg_pwr_db)=-46.34986811211515\n",
      "guess_threshold=-27.792462412253016\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Loaded \n",
      " Data file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_2430000000Hz_20480000sps.raw.sigmf-data \n",
      " SigMF-Meta file: data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_2430000000Hz_20480000sps.raw.sigmf-meta\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ltindall/.pyenv/versions/3.10.9/envs/rfml-dev/lib/python3.10/site-packages/sigmf/sigmffile.py:914: UserWarning: Compliant Dataset `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_2430000000Hz_20480000sps.raw.sigmf-data` exists but \"core:dataset\" is also defined; using `data/gamutrf/gamutrf-nz-wifi/gamutrf_ax_gain60_2430000000Hz_20480000sps.raw.sigmf-data`\n",
      "  warnings.warn(f'Compliant Dataset `{compliant_data_fn}` exists but '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.max(avg_pwr_db)=0.6456710686193079\n",
      "np.mean(avg_pwr_db)=-27.352534712976908\n",
      "guess_threshold=-13.3534318221788\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for f in glob.glob(\"data/gamutrf/gamutrf-nz-wifi/*.sigmf-meta\"):\n",
    "    label_regular_wifi(f)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c935df4-489f-494e-a884-a69da824edda",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}