#?coding:?utf-8

#?##?Modulation?Recognition?Example:?RML2016.10b?Dataset?+?VT-CNN2?Mod-Rec?Network
#?More?information?on?this?classification?method?can?be?found?at
#?https://arxiv.org/abs/1602.04105
#?More?information?on?the?RML2016.10b?dataset?can?be?found?at
#?http://pubs.gnuradio.org/index.php/grcon/article/view/11
#?Please?cite?derivative?works
#?‘‘‘
#?@article{convnetmodrec
#???title={Convolutional?Radio?Modulation?Recognition?Networks}
#???author={O‘Shea?Timothy?J?and?Corgan?Johnathan?and?Clancy?T.?Charles}
#???journal={arXiv?preprint?arXiv:1602.04105}
#???year={2016}
#?}
#?@article{rml_datasets
#???title={Radio?Machine?Learning?Dataset?Generation?with?GNU?Radio}
#???author={O‘Shea?Timothy?J?and?West?Nathan}
#???journal={Proceedings?of?the?6th?GNU?Radio?Conference}
#???year={2016}
#?}
#?‘‘‘
#?To?run?this?example?you?will?need?to?download?or?generate?the?RML2016.10b?dataset?（https://radioml.com/datasets/）
#?You?will?also?need?Keras?installed?with?either?the?Theano?or?Tensor?Flow?backend?working.
#?Have?fun!

“““
Run?code?for?CLDNN?Sub-Sampling?PCA?and?SNR?Training?experiments?by?uncommenting?the?appropriate?code?blocks
For?all?the?experiments?the?value?on?line?224?（11200?for?no?modifications）?must?be?changed?according?to?the?dimensions?specified-
128?（1）?->?11200;?64?（1/2）?->?6080;?32?（1/4）?->?3520;?16?（1/8）?->?2240;?8?（1/16）?->?1600;?4?（1/32）?->?1280
For?PCA?experiments:?Uncomment?‘PCA?Setup‘?and?‘PCA‘?code?blocks
For?Sub-Sampling?experiments:?Uncomment?‘Sub-Sampling?Setup‘?and?1?of?the?3?subsampling?code?blocks
For?Individual?SNR?Training?experiments:?Uncomment?‘SNR?Setup‘?and?‘SNR?Training‘?code?blocks
For?no?dimensionality?reduction?experiments:?Run?the?code?as?is?without?uncommenting?any?code?block
“““

#?In[1]:
#?Import?all?the?things?we?need?---
#?by?setting?env?variables?before?Keras?import?you?can?set?up?which?backend?and?which?GPU?it?uses
#get_ipython（）.magic（u‘matplotlib?inline‘）
import?osrandom
#os.environ[“KERAS_BACKEND“]?=?“theano“
os.environ[“KERAS_BACKEND“]?=?“tensorflow“
#os.environ[“THEANO_FLAGS“]??=?“device=gpu%d“%（1）???#disabled?because?we?do?not?have?a?hardware?GPU
import?numpy?as?np
#import?theano?as?th
#import?theano.tensor?as?T
from?keras.utils?import?np_utils
import?keras.models?as?models
from?keras.layers.core?import?ReshapeDenseDropoutActivationFlatten
from?keras.layers.convolutional?import?Conv2D?MaxPooling2D?ZeroPadding2D
from?keras.regularizers?import?*
from?keras.optimizers?import?adam
from?keras.optimizers?import?adagrad
import?matplotlib
matplotlib.use（‘Agg‘）
import?matplotlib.pyplot?as?plt
import?seaborn?as?sns
import?cPickle?random?sys?keras
from?keras.utils?import?multi_gpu_model
from?keras?import?backend?as?K
K.tensorflow_backend._get_available_gpus（）
import?tensorflow?as?tf

#?~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#?Sub-Sampling?Setup
“““sub_samples?=?16“????#?Number?of?samples?after?Sub-Sampling“““
#?~~~~~~~~~~~~~