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Fixed 2 typos on the Neural_Receiver.ipynb notebook #406

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Apr 23, 2024
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Fixed 2 typos on the Neural_Receiver.ipynb notebook #406

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4 changes: 2 additions & 2 deletions examples/Neural_Receiver.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -543,7 +543,7 @@
"\n",
"######################################\n",
"## Receiver \n",
"# The neural receover computes LLRs from the frequency domain received symbols and N0\n",
"# The neural receiver computes LLRs from the frequency domain received symbols and N0\n",
"y = tf.squeeze(y, axis=1)\n",
"llr = neural_receiver([y, no])\n",
"print(\"llr shape: \", llr.shape)\n",
Expand Down Expand Up @@ -755,7 +755,7 @@
" no_eff_= expand_to_rank(no_eff, tf.rank(x_hat))\n",
" llr = self._demapper([x_hat, no_eff_]) # Demapping\n",
" elif self._system == \"neural-receiver\":\n",
" # The neural receover computes LLRs from the frequency domain received symbols and N0\n",
" # The neural receiver computes LLRs from the frequency domain received symbols and N0\n",
" y = tf.squeeze(y, axis=1)\n",
" llr = self._neural_receiver([y, no])\n",
" llr = insert_dims(llr, 2, 1) # Reshape the input to fit what the resource grid demapper is expected\n",
Expand Down
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