def findsync(dataMatrix):
datamatrix = Init.getData(dataMatrix,sensors=["STE"],datas=[ "acc"])
signal= dataMatrix[:,2]
maxAbsValue, maxAbsFreq = FourierTransformation.maxAbsFreq(signal)
Filtered = FeatureKonstruktion.filter(datamatrix,[2,3,4],maxAbsFreq)
plt.plot(Filtered[:,2:])
plt.show()
def getminimas(dataMatrix, Sensor=[290]):
signal = dataMatrix[:,Sensor[0]]
maxAbsValue, maxAbsFreq = FourierTransformation.maxAbsFreq(signal[0:13000])
Filtered = FeatureKonstruktion.filter(dataMatrix,Sensor,maxAbsFreq)
print maxAbsFreq,maxAbsValue
plt.plot(signal)
plt.show()
return argrelmin(Filtered[:,Sensor],order=25)
def getmaximas(dataMatrix, Sensor=[290]):
signal = dataMatrix[:,Sensor[0]]
maxAbsValue, maxAbsFreq = FourierTransformation.maxAbsFreq(signal[0:13000])
Filtered = FeatureKonstruktion.filter(dataMatrix,Sensor,maxAbsFreq)
plt.plot(Filtered[:,Sensor],label="z-Acceleration Foot")
plt.title("Filtered acceleration")
plt.legend()
plt.xlabel("Samples")
plt.ylabel("m/s^2")
plt.show()
return argrelmax(Filtered[:,Sensor],order=25)