from data.signalGenerator import generateTestSignal , simpleValues , advancedValues , masterValues
from src.processing import calculateMP
from src.drawing import calculateTFMap
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import gridspec, ticker
# from scipy.io import savemat, loadmat
if __name__ == '__main__':
# create a synthetic signal
(gaborParams , sinusParams , asymetricParams , rectParams , noiseRatio , samplingFrequency , numberOfSamples) = simpleValues()
(signal,time) = generateTestSignal(gaborParams,sinusParams,asymetricParams,rectParams,numberOfSamples,samplingFrequency,noiseRatio)
# signal.astype('float32')
# signal.tofile('dupa.raw')
# (gaborParams , sinusParams , asymetricParams , rectParams , noiseRatio , samplingFrequency , numberOfSamples) = masterValues()
# (signal,time) = generateTestSignal(gaborParams,sinusParams,asymetricParams,rectParams,numberOfSamples,samplingFrequency,noiseRatio)
# quick saving to matlab
# tmp = {}
# tmp['signal'] = signal
# tmp['czas'] = time
# savemat('../syg_asym.mat' , tmp)
# config for a dictionary and MP
flags = {}
from src.processing import calculateMP
from src.drawing import calculateTFMap
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import gridspec, ticker
# from scipy.io import savemat, loadmat
if __name__ == '__main__':
# create a synthetic signal
(gaborParams, sinusParams, asymetricParams, rectParams, noiseRatio,
samplingFrequency, numberOfSamples) = simpleValues()
(signal, time) = generateTestSignal(gaborParams, sinusParams,
asymetricParams, rectParams,
numberOfSamples, samplingFrequency,
noiseRatio)
# signal.astype('float32')
# signal.tofile('dupa.raw')
# (gaborParams , sinusParams , asymetricParams , rectParams , noiseRatio , samplingFrequency , numberOfSamples) = masterValues()
# (signal,time) = generateTestSignal(gaborParams,sinusParams,asymetricParams,rectParams,numberOfSamples,samplingFrequency,noiseRatio)
# quick saving to matlab
# tmp = {}
# tmp['signal'] = signal
# tmp['czas'] = time
# savemat('../syg_asym.mat' , tmp)
# config for a dictionary and MP
'''
import numpy as np
import unittest
from src.dictionary import generateDictionary
from data.signalGenerator import generateTestSignal, simpleValues, advancedValues, masterValues
from src.processing import calculateMP
freqThreshold = 0.05
amplThreshold = 0.10
(gaborParams, sinusParams, asymetricParams, rectParams, noiseRatio,
samplingFrequency, numberOfSamples) = simpleValues()
(signal, time) = generateTestSignal(gaborParams, sinusParams, asymetricParams,
rectParams, numberOfSamples,
samplingFrequency, noiseRatio)
(gaborParamsAdvanced, sinusParamsAdvanced, asymetricParamsAdvanced,
rectParamsAdvanced, noiseRatio, samplingFrequency,
numberOfSamples) = advancedValues()
(advancedSignal,
time) = generateTestSignal(gaborParamsAdvanced, sinusParamsAdvanced,
asymetricParamsAdvanced, rectParamsAdvanced,
numberOfSamples, samplingFrequency, noiseRatio)
(gaborParamsMaster, sinusParamsMaster, asymetricParamsMaster, rectParamsMaster,
noiseRatio, samplingFrequency, numberOfSamples) = masterValues()
(masterSignal, time) = generateTestSignal(gaborParamsMaster, sinusParamsMaster,
asymetricParamsMaster,
rectParamsMaster, numberOfSamples,
"""
import numpy as np
import unittest
from src.dictionary import generateDictionary
from data.signalGenerator import generateTestSignal, simpleValues, advancedValues, masterValues
from src.processing import calculateMP
freqThreshold = 0.05
amplThreshold = 0.10
(gaborParams, sinusParams, asymetricParams, rectParams, noiseRatio, samplingFrequency, numberOfSamples) = simpleValues()
(signal, time) = generateTestSignal(
gaborParams, sinusParams, asymetricParams, rectParams, numberOfSamples, samplingFrequency, noiseRatio
)
(
gaborParamsAdvanced,
sinusParamsAdvanced,
asymetricParamsAdvanced,
rectParamsAdvanced,
noiseRatio,
samplingFrequency,
numberOfSamples,
) = advancedValues()
(advancedSignal, time) = generateTestSignal(
gaborParamsAdvanced,
sinusParamsAdvanced,
asymetricParamsAdvanced,
