small mtl fcn updates

Author: skalade

6_mtl/fcn/0_cfo_estimators.ipynb

@@ -5,9 +5,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Performance Under Carrier Offsets\n",
+    "# 1 Frame Synchronization and CFO Estimation using MTL\n",
     "\n",
-    "So far a simple AWGN case with a 13-bit barker sequence was demonstrated which may not be compelling to everyone. In this notebook we'll look at a more realistic scenario with a longer preamble and some frequency offsets."
+    "This notebook uses MTL to train FCNs that can do frame sync and CFO estimation."
    ]
   },
   {
@@ -2035,26 +2035,6 @@
     "# plt.savefig('figures/mean_accs_loss_tradeoffs_10khz.png', dpi=300, bbox_inches='tight')"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[10000.0, 20000.0, 30000.0]"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "torch.load('results/fs_0.9_0.1_0db.pt')[0]['cfos']"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 86,

6_mtl/fcn/1_cfo_mtl.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2170bf5b",
+   "metadata": {},
+   "source": [
+    "# Continuous Estimation Results\n",
+    "\n",
+    "This notebooks is used primarily to visualize the outputs of the previous notebooks, and to reproduce the figures seen in the thesis."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -1193,22 +1203,6 @@
     "# plt.savefig('figures/fcn_snr_estimation_linear_scale.png', dpi=300, bbox_inches='tight')"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8f054dd6-27db-4b5b-a0d0-5d50d6c5a761",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "931b3aa2-c207-407c-a923-7831aa08c8f7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 348,
@@ -1454,14 +1448,6 @@
     "plt.tight_layout()\n",
     "# plt.savefig('figures/fs_training_example_snr_label.svg', dpi=300, bbox_inches='tight')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5e112a4b-56e3-43c0-9d91-b3495585178e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {