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-rw-r--r-- | notebooks/Untitled.ipynb | 278 |
1 files changed, 278 insertions, 0 deletions
diff --git a/notebooks/Untitled.ipynb b/notebooks/Untitled.ipynb new file mode 100644 index 0000000..23109f8 --- /dev/null +++ b/notebooks/Untitled.ipynb @@ -0,0 +1,278 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9aef28b0", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "412e054c", + "metadata": {}, + "outputs": [], + "source": [ + "def modulate_qpsk(m):\n", + " ampl = np.sqrt(2)\n", + " sym = {\n", + " 0: ampl * (-1 -1j)/np.sqrt(2),\n", + " 1: ampl * ( 1 -1j)/np.sqrt(2),\n", + " 2: ampl * (-1 +1j)/np.sqrt(2),\n", + " 3: ampl * ( 1 +1j)/np.sqrt(2)\n", + " }\n", + "\n", + " return map(lambda k: sym[k], m)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c340fb0f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<map at 0x7f2fe63da820>" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "modulate_qpsk([0])" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b4881afe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0x1f'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hex(31)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "2c43411f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0b1010101'" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bin(0x55)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f65a2e47", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.7071067811865475+0.7071067811865475j)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a=(1 +1j)/np.sqrt(2)\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3c15cd13", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-9.486832980505138-9.486832980505138j)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "-3/np.sqrt(0.1)-3j/np.sqrt(0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cb3fdfcc", + "metadata": {}, + "outputs": [], + "source": [ + "def modulate_16qam(m):\n", + " sym = {\n", + " # first column\n", + " 0: -3 -3j,\n", + " 1: -3 -1j,\n", + " 2: -3 +3j,\n", + " 3: -3 +1j,\n", + " # second column\n", + " 4: -1 -3j,\n", + " 5: -1 -1j,\n", + " 6: -1 +3j,\n", + " 7: -1 +1j,\n", + " # fourth column\n", + " 8: 3 -3j,\n", + " 9: 3 -1j,\n", + " 10: 3 +3j,\n", + " 11: 3 +1j,\n", + " # third column\n", + " 12: 1 -3j,\n", + " 13: 1 -1j,\n", + " 14: 1 +3j,\n", + " 15: 1 +1j,\n", + " }\n", + " return map(lambda k: sym[k]*np.sqrt(0.1), m)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "01626f53", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[(-0.9486832980505138-0.31622776601683794j),\n", + " (-0.9486832980505138-0.31622776601683794j)]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(modulate_16qam([1, 1]))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "df5b6858", + "metadata": {}, + "outputs": [], + "source": [ + "def modulate_16qam_2(m):\n", + " sym = {\n", + " # first column\n", + " 0: 1 -1j,\n", + " 1: -1 -1j,\n", + " 2: 3 -3j,\n", + " 3: -3 -3j,\n", + " 4: -3 -1j,\n", + " 5: 3 -1j,\n", + " 6: -1 -3j,\n", + " 7: 1 -3j,\n", + " 8: -3 +3j,\n", + " 9: 3 +3j,\n", + " 10: -1 +1j,\n", + " 11: 1 +1j,\n", + " 12: 1 +3j,\n", + " 13: -1 +3j,\n", + " 14: 3 +1j,\n", + " 15: -3 +1j,\n", + " \n", + " }\n", + " return map(lambda k: sym[k]*np.sqrt(0.1), m)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "f263ed95", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(-0.31622776601683794-0.31622776601683794j),\n", + " (-0.31622776601683794-0.31622776601683794j)]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(modulate_16qam_2([1,1]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27855d88", + "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 +} |