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authorhardythe12015-04-07 15:58:05 +0530
committerhardythe12015-04-07 15:58:05 +0530
commitc7fe425ef3c5e8804f2f5de3d8fffedf5e2f1131 (patch)
tree725a7d43dc1687edf95bc36d39bebc3000f1de8f /Satellite_Communications/Chapter_10.ipynb
parent62aa228e2519ac7b7f1aef53001f2f2e988a6eb1 (diff)
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Diffstat (limited to 'Satellite_Communications/Chapter_10.ipynb')
-rwxr-xr-xSatellite_Communications/Chapter_10.ipynb25
1 files changed, 5 insertions, 20 deletions
diff --git a/Satellite_Communications/Chapter_10.ipynb b/Satellite_Communications/Chapter_10.ipynb
index 3886255a..6cac838d 100755
--- a/Satellite_Communications/Chapter_10.ipynb
+++ b/Satellite_Communications/Chapter_10.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:e0d184d1729c611848b690830ee717bb5bc71942466a1adef15c51a942411c9c"
+ "signature": "sha256:4511273484a972ccf0b24ae5024cbc7b477d6e76c179ec40d21b095c8ccf0c0e"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -122,7 +122,7 @@
"\n",
"import math\n",
"from pylab import*\n",
- "%pylab inline\n",
+ "%matplotlib inline\n",
"x=linspace(8,10,11) #Eb/N0 ratio represented by x\n",
"x1=x**0.5\n",
"for i in range(0,11):\n",
@@ -161,26 +161,11 @@
"metadata": {},
"outputs": [
{
- "output_type": "stream",
- "stream": "stdout",
- "text": [
- "Populating the interactive namespace from numpy and matplotlib\n"
- ]
- },
- {
- "output_type": "stream",
- "stream": "stderr",
- "text": [
- "WARNING: pylab import has clobbered these variables: ['linalg', 'draw_if_interactive', 'random', 'power', 'info', 'fft']\n",
- "`%pylab --no-import-all` prevents importing * from pylab and numpy\n"
- ]
- },
- {
"metadata": {},
"output_type": "display_data",
- "png": 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WrVs3KBQKnY+PT0VeXl6EZf/vf//7zZMnT740evToq9bn3rt376Pjx4//Ligo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\nU6IERQghxClRgiKEEOKU/j9XO1m8HYmiTgAAAABJRU5ErkJggg==\n",
"text": [
- "<matplotlib.figure.Figure at 0x3733c90>"
+ "<matplotlib.figure.Figure at 0x38eaa90>"
]
},
{
@@ -191,7 +176,7 @@
]
}
],
- "prompt_number": 1
+ "prompt_number": 2
}
],
"metadata": {}