Re-run examples, updated notebook format

Author: spors

spectral_estimation_random_signals/parametric_methods.ipynb

@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {

spectral_estimation_random_signals/periodogram.ipynb

@@ -80,9 +80,9 @@
     },
     {
      "data": {
-      "image/png": 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AclT1X0hcx1CYPHGWJS5RbHNvl+OEOc/SuK15t8H2kBl68GIwMLxjn9vwk+OA\nzDFSzDEfl1Lvc2HqtjuiqNti94VCwp5PC50HO8rSeTn5ymJmsbZ0NQIHZX0eGqQ1kgm8stOXRbRO\n6Ya4rnDRY3W6L84rOqO4krXc6j+N4rr3VRzrCXNVmx5D0zNpu2IwivKGOZ+GOQ/21hWoUd2naxHw\nd8FVjMcD77j7W8AS4DQz2zcYQH9akNZrKm1AcpLEdYVRki4MiELYAaZR7NtRDEgut/pPm7iOs7jW\nE3awvQamd1+aLu6AaMob5nwa5jzYWxd9hb1lxAPAr4HDzazBzKaZ2SVmdkmQZTGwHlgH/DvwDwDu\n3gRcBywPXrODtF6RtsuKy01cVxil7URSSJiDO6p9O4qAqdzqP23iOs7iWk/armpLk7ivAC62fqMo\nb5jzadjzYG8E+qG6F939qwWmOzAjz7R5wLzuF6371O3Rc1F0I+jRFz0X13Mio+jKLMf6T5O4jrO4\n1hNX12GSbhIdlzi7ZaOo36jKW+h8WsqbdKfmjvRhpK3/OimiOhnFtSNX4viOqPbtKAKmSqz/JInr\nOIvzeZNxjDmt1B/lcY3njap+4yhvKX84pubZi2Go26NnoupGiLMpu9LGd0S1b0c1TqHS6j9J4jrO\nyu15kxqL2LvSVL+lvEl3WbV0qdujZ6JqRVELSO+Jct9Oy7PaJLe4jrNye95kkp77Wo7SVr+lOg+W\nVdClL/2eifJg0Rd679C+LdniOs4KrSdNQzr0ozy/KLqIVb/hlFXQBfrS7wkdLOmgfVuSJk2tG/rh\nkltUY3pVv+GUXdAVhbhuPJgUOlhEpCfS9oNNP1z2FGUXseq3sIoMuroKqirxsmLQwVIuKu0Hg5RW\npf5gK6fjLE1dxOWg4oKuQkFVmgaGimRL2g+Gcvpikvwq7Qdb0o6zYqWpi7gclNUtI8IodHuENF32\nKpItrjuIh5GmWwmIdEeSjrMoxH3X+kpXcS1dhZpSFfVLWiWpm0AtxpJWhVpok3ScRaFSu4hLpeKC\nrkJBVdoGhop0SNIPhnL7YoqTumVLJ0zXYZKOs6ikrYs4zcdIxXUvFmpKLeWdakWKkaRuAj0domfU\nLVtaYboOk3ScVaK0HyMV19IVpik1bVF/XNL866ISJKmbQC3GPaNu2dIK00KbpOOsEqX9GKm4oAsU\nVPVEuV2xU66Ssm/riym3ShsvlDZhuw6TcpxVorQfIxXXvSg9U25X7Ejv00OxdxemW0TdsqWlrsPk\nS/sxoqBLQtGtNESKo/FCyacxvcmX9mOkIrsXpfvK8YodkThpvFA6qOsw2dJ+jCjoklA0MFqkOBov\nJBKNNB8joboXzewMM1trZusREbTvAAAMtklEQVTM7Ooc028xs1eD1x/MbFvWtPasaYuiLLzER83u\nIsVJe7eIiBSvYEuXmVUBtwOnAg3AcjNb5O6vdeRx9/+Zlf+bwNisRTS7+5joiiylkuZfFyKllvZu\nEREpXpjuxXHAOndfD2BmDwITgdfy5P8qcG00xRMRKR/64SJS2cJ0Lw4BNmZ9bgjS9mBmBwMjgGez\nkvuZWb2ZvWRmk/KtxMymB/nqN2/eHKJYIiIiIukR9S0jzgMecff2rLSD3b0OOB/4vpl9MteM7j7X\n3evcvW7w4MERF0tERESktMIEXY3AQVmfhwZpuZwHPJCd4O6Nwd/1wDJ2H+8lIiIiUhHCBF3LgZFm\nNsLM+pIJrPa4CtHMjgD2BX6dlbavme0VvB8EnED+sWAiIiIiZavgQHp3bzOzy4AlQBUwz91Xm9ls\noN7dOwKw84AH3d2zZh8F/MjMdpIJ8OZkX/UoIiIiUilC3RzV3RcDizulzer0+Ts55vsVcFQR5RMR\nEREpC3r2ooiIiEgMFHSJiIiIxEBBl4iIiEgMFHSJiIiIxEBBl4iIiEgMFHSJiIiIxEBBl4iIiEgM\nFHSJiIiIxEBBl4iIiEgMFHSJiIiIxEBBl4iIiEgMFHSJiIiIxEBBl4iIiEgMFHSJiIiIxEBBl4iI\niEgMFHSJiIiIxEBBl4iIiEgMFHSJiIiIxCBU0GVmZ5jZWjNbZ2ZX55h+oZltNrNXg9fFWdMuMLPX\ng9cFURZeREREJC2qC2UwsyrgduBUoAFYbmaL3P21TlkfcvfLOs27H3AtUAc48HIw79uRlF5ERESk\nRBasaOTmJWvp+4lDjw2TP0xL1zhgnbuvd/cW4EFgYsjynA487e5NQaD1NHBGyHlFREREEmnBikZm\nPraKxm3NoecJE3QNATZmfW4I0jo7x8x+Z2aPmNlB3ZwXM5tuZvVmVr958+YQxRIREREpjZuXrKW5\ntZ2mZ44MPU9UA+l/Dgx390+Tac36SXcX4O5z3b3O3esGDx4cUbFEREREovenoIWrZdNHQ88TJuhq\nBA7K+jw0SNvF3be6+47g44+BY8POKyIiIpI2Bw6s7fY8YYKu5cBIMxthZn2B84BF2RnM7ICsj2cD\na4L3S4DTzGxfM9sXOC1IExEREUmtq04/nNqaqm7NU/DqRXdvM7PLyARLVcA8d19tZrOBendfBFxu\nZmcDbUATcGEwb5OZXUcmcAOY7e5N3SqhiIiISMJMGpsZon7B/D5sbw03T8GgC8DdFwOLO6XNyno/\nE5iZZ955wLxwxRERERFJh0ljhzB2GDz33LqXw+TXHelFREREYqCgS0RERCQGCrpEREREYqCgS0RE\nRCQGCrpEREREYqCgS0RERCQGCrpEREREYqCgS0RERCQGCrpEREREYqCgS0RERCQGCrpEREREYqCg\nS0RERCQGCrpEREREYqCgS0RERCQGCrpEREREYqCgS0RERCQGCrpEREREYqCgS0RERCQGoYIuMzvD\nzNaa2TozuzrH9H8ys9fM7Hdm9l9mdnDWtHYzezV4LYqy8CIiIiJpUV0og5lVAbcDpwINwHIzW+Tu\nr2VlWwHUuftfzexS4F+Bc4Npze4+JuJyi4iIiKRKmJauccA6d1/v7i3Ag8DE7AzuvtTd/xp8fAkY\nGm0xRURERNItTNA1BNiY9bkhSMtnGvBE1ud+ZlZvZi+Z2aQelFFEREQk9Qp2L3aHmf0PoA44KSv5\nYHdvNLNDgGfNbJW7v5Fj3unAdIBhw4ZFWSwRERGRkgvT0tUIHJT1eWiQthszmwD8b+Bsd9/Rke7u\njcHf9cAyYGyulbj7XHevc/e6wYMHh94AERERkTQIE3QtB0aa2Qgz6wucB+x2FaKZjQV+RCbg2pSV\nvq+Z7RW8HwScAGQPwBcRERGpCAW7F929zcwuA5YAVcA8d19tZrOBendfBNwM9AceNjOAP7r72cAo\n4EdmtpNMgDen01WPIiIiIhUh1Jgud18MLO6UNivr/YQ88/0KOKqYAoqIiIiUg0TekX5V4zucMOdZ\nFqzYY+iYiIiISColMugCaNzWzMzHVinwEhERkbKQyKCr7d1+ADS3tnPzkrUlLo2IiIhI8RIZdHlr\n1a73f9rWXMKSiIiIiEQjkUFXtgMH1pa6CCIiIiJFS3TQVVtTxVWnH17qYoiIiIgULdLHAEVpyMBa\nrjr9cCaN7eoxjyIiIiLpkMiga++9qnnx6s+XuhgiIiIikUl096KIiIhIuVDQJSIiIhIDBV0iIiIi\nMVDQJSIiIhIDBV0iIiIiMVDQJSIiIhIDBV0iIiIiMVDQJSIiIhIDBV0iIiIiMVDQJSIiIhIDBV0i\nIiIiMQgVdJnZGWa21szWmdnVOabvZWYPBdN/Y2bDs6bNDNLXmtnp0RVdREREJD0KBl1mVgXcDnwB\nOBL4qpkd2SnbNOBtdz8UuAW4KZj3SOA84FPAGcAdwfJEREREKkqYlq5xwDp3X+/uLcCDwMROeSYC\nPwnePwKMNzML0h909x3uvgFYFyxPREREpKJUh8gzBNiY9bkB+Ey+PO7eZmbvAPsH6S91mndIrpWY\n2XRgevBxh5n9vqtCmRUueBR54lpPzGUZBGyJYT1F50lxWfLWcRlvc9zr2aOOK2Cb4y7LrjquoG2O\nO88gs/zn4yjLkqBtjnM9XX7fRViWgwsvJVzQFQt3nwvMBTCzenevK3GRypbqt/epjnuf6rj3qY57\nn+q4dyWtfsN0LzYCB2V9Hhqk5cxjZtXAPsDWkPOKiIiIlL0wQddyYKSZjTCzvmQGxi/qlGcRcEHw\nfgrwrLt7kH5ecHXjCGAk8Ntoii4iIiKSHgW7F4MxWpcBS4AqYJ67rzaz2UC9uy8C7gb+w8zWAU1k\nAjOCfD8DXgPagBnu3h6iXHN7tjkSkuq396mOe5/quPepjnuf6rh3Jap+LdMgJSIiIiK9SXekFxER\nEYmBgi4RERGRGJQs6Crm0UISTog6vtDMNpvZq8Hr4lKUM63MbJ6Zbcp3TznLuDWo/9+Z2TFxlzHt\nQtTxyWb2TtY+PCvuMqadmR1kZkvN7DUzW21m/5gjj/blHgpZv9qPi2Bm/czst2a2Mqjjf8mRJxEx\nRUmCrmIeLSThhKxjgIfcfUzw+nGshUy/e8k83iqfL5C5YnckmRv/3hlDmcrNvXRdxwC/zNqHZ8dQ\npnLTBlzp7kcCxwMzcpwrtC/3XJj6Be3HxdgBfN7djwbGAGeY2fGd8iQipihVS1cxjxaScMLUsRTB\n3Z8nc7VuPhOB+zzjJWCgmR0QT+nKQ4g6liK5+1vu/krw/j1gDXs+OUT7cg+FrF8pQrBfvh98rAle\nna8STERMUaqgK9ejhTrvhLs9WgjoeLSQhBOmjgHOCboLHjGzg3JMl54L+z+Q4vxN0K3whJl9qtSF\nSbOgy2Us8JtOk7QvR6CL+gXtx0UxsyozexXYBDzt7nn34VLGFBpIX9l+Dgx3908DT/PhrwCRtHgF\nODjoVvghsKDE5UktM+sPPAp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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x112a58e10>"
+       "<Figure size 720x288 with 1 Axes>"
       ]
      },
      "metadata": {},