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modulephaselib.py
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modulephaselib.py
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import cmath
import datasetlib
MODULE_PHASE_SIGNALS_COLUMN_DATAFRAME_NAME = 'MP signals'
def single_I_Q_to_module_phase(signal):
"""
This function transforms a single I/Q signal in Module/Phase.
Args:
signal: 2x128 matrix representing the signal.
Returns:
2x128 matrix representing the transformed signal.
"""
modules = []
phases = []
# a signal is
I = signal[0]
Q = signal[1]
# for each <i,q> couple
for j in range(0, len(I)):
cmplx = complex(I[j], Q[j]) # <i,q> can be represented as a complex number (i = real part, q = complex part)
modules.append(abs(cmplx))
phases.append(cmath.phase(cmplx))
# return [module_1, module_2, ..., module_n], [phase_1, phase_2, ..., phase_n]
return modules, phases
def all_I_Q_to_module_phase(signals):
"""
This function creates a list containing the transformed copy of each element in signals. Transformation is done
in Module/Phase.
Args:
signals: numpy.array of 2x128 matrixes each one representing a signal.
Returns:
numpy.array of 2x128 matrixes each one representing a transformed signal.
"""
transformed_signals = []
for signal in signals:
transformed_signal = single_I_Q_to_module_phase(signal)
# transformed_signal is a <modules, phases> couple
transformed_signals.append(transformed_signal)
return transformed_signals
def transform_and_add_signals_to_dataframe(dataset_df):
"""
This function transforms the signals contained in dataset_df. Transformation is done in Module/Phase.
Args:
dataset_df: pandas dataframe containing the dataset.
Returns:
pandas dataframe with transformation applied.
"""
# add Module/Phase signals to pandas Dataframe
signals = datasetlib.signals(dataset_df)
dataset_df[MODULE_PHASE_SIGNALS_COLUMN_DATAFRAME_NAME] = all_I_Q_to_module_phase(signals)
return dataset_df
def signals(dataset_df):
return dataset_df[MODULE_PHASE_SIGNALS_COLUMN_DATAFRAME_NAME].tolist()