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,