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| author | kinitrupti | 2017-05-12 18:40:35 +0530 |
|---|---|---|
| committer | kinitrupti | 2017-05-12 18:40:35 +0530 |
| commit | d36fc3b8f88cc3108ffff6151e376b619b9abb01 (patch) | |
| tree | 9806b0d68a708d2cfc4efc8ae3751423c56b7721 /sample_notebooks/AviralYadav/Chapter9.ipynb | |
| parent | 1b1bb67e9ea912be5c8591523c8b328766e3680f (diff) | |
| download | Python-Textbook-Companions-d36fc3b8f88cc3108ffff6151e376b619b9abb01.tar.gz Python-Textbook-Companions-d36fc3b8f88cc3108ffff6151e376b619b9abb01.tar.bz2 Python-Textbook-Companions-d36fc3b8f88cc3108ffff6151e376b619b9abb01.zip | |
Revised list of TBCs
Diffstat (limited to 'sample_notebooks/AviralYadav/Chapter9.ipynb')
| -rwxr-xr-x | sample_notebooks/AviralYadav/Chapter9.ipynb | 144 |
1 files changed, 0 insertions, 144 deletions
diff --git a/sample_notebooks/AviralYadav/Chapter9.ipynb b/sample_notebooks/AviralYadav/Chapter9.ipynb deleted file mode 100755 index 0655eef8..00000000 --- a/sample_notebooks/AviralYadav/Chapter9.ipynb +++ /dev/null @@ -1,144 +0,0 @@ -{
- "metadata": {
- "name": "",
- "signature": "sha256:349ae7afdee1d1b3c3dc4037b8dc3bb200738707d16369e5edfee0d065859f9b"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
- {
- "cells": [
- {
- "cell_type": "heading",
- "level": 1,
- "metadata": {},
- "source": [
- "Chapter 9: Signal Analysis"
- ]
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Ex9.1:pg-277"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "# To find dynamic range of spectrum analyser\n",
- "\n",
- "# Given data\n",
- "I_p = +25.0; #Third order intercept point in dBm\n",
- "MDS = -85.0; #noise level in dBm\n",
- "\n",
- "#Calculations\n",
- "\n",
- "dynamic_range = 2/3.0*(I_p -MDS);\n",
- "print \"The dynamic range of the spectrum analyser =\",int(dynamic_range),\" dB\"\n",
- "\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "The dynamic range of the spectrum analyser = 73 dB\n"
- ]
- }
- ],
- "prompt_number": 2
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Ex9.2:pg-277"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "# To find minimum detectable signal\n",
- "\n",
- "import math\n",
- "\n",
- "# Given data\n",
- "NF = 20.0; #Noise figure in dB\n",
- "BW = 1*10.0**3; #Bandwidth in Hz\n",
- "\n",
- "#Calculations\n",
- "MDS=-114+10*math.log10((BW/(1*10.0**6)))+NF\n",
- "print \"The minimum detectable signal of the spectrum analyser = \",int(MDS),\" dBm\"\n",
- "\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "The minimum detectable signal of the spectrum analyser = -124 dBm\n"
- ]
- }
- ],
- "prompt_number": 13
- },
- {
- "cell_type": "heading",
- "level": 2,
- "metadata": {},
- "source": [
- "Ex9.3:pg-285"
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "# To find dynamic range and total frequency display\n",
- "\n",
- "import math\n",
- "# Given data\n",
- "T = 4.0; #Sample window in s\n",
- "f_s = 20*10.0**3; # sample frequency in Hz\n",
- "N = 10.0; #no of bits\n",
- "\n",
- "#Calculations\n",
- "f_r = 1/T;\n",
- "f_h = f_s/2.0; \n",
- "R_d = 20*math.log10(2.0**N);\n",
- "\n",
- "print \"The ratio of the spectral calculation = \",round(f_r,2),\" Hz\\n\"\n",
- "print \"The maximum calculated spectral frequency = \",int(f_h),\" Hz\\n\"\n",
- "print \"The dynamic range = \",int(R_d),\" dB\"\n"
- ],
- "language": "python",
- "metadata": {},
- "outputs": [
- {
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "The ratio of the spectral calculation = 0.25 Hz\n",
- "\n",
- "The maximum calculated spectral frequency = 10000 Hz\n",
- "\n",
- "The dynamic range = 60 dB\n"
- ]
- }
- ],
- "prompt_number": 15
- }
- ],
- "metadata": {}
- }
- ]
-}
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