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path: root/notebooks/BER .ipynb
blob: 8e0a6f48bb0643ae6db3c674a4fda382f1909ec6 (plain)
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec5412d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "be1f0d01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byte1= np.array([0x12, 0xe3, 0x9b])\n",
    "byte2 = np.array([0x12, 0xe3, 0x9c])\n",
    "b1 = np.array([0,0])\n",
    "b2 = np.array([0,1])\n",
    "b1\n",
    "b2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c256a3d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 0 7]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=uint8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v = byte1^byte2\n",
    "v1 = np.array (v,dtype = np.uint8)\n",
    "print(v1)\n",
    "v2 = b1^b2\n",
    "v2 = np.array (v2,dtype = np.uint8)\n",
    "v2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "227f0142",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], dtype=uint8)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z = np.unpackbits(v1)\n",
    "print(z)\n",
    "z1 = np.unpackbits(v2)\n",
    "z1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "092d8dae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = sum(z)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ac2e304",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "034142b6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f203fbce",
   "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": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}