Debugging, cleaning up
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@ -74,7 +74,7 @@ class CharacteristicFunction(object):
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t2=self.getTime2(),
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order=self.getOrder(),
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fnoise=self.getFnoise(),
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ardetstep=self.getARdetStep())
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ardetstep=self.getARdetStep[0]())
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def getCut(self):
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return self.cut
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@ -99,7 +99,9 @@ class CharacteristicFunction(object):
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def setARdetStep(self, t1):
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if t1:
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self.ARdetStep = t1 / 4
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self.ARdetStep = []
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self.ARdetStep.append(t1 / 4)
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self.ARdetStep.append(int(np.ceil(self.getTime2() / self.getIncrement()) / 4))
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return self.ARdetStep
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def getOrder(self):
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@ -115,27 +117,14 @@ class CharacteristicFunction(object):
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return self.dt
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def getTimeArray(self):
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if self.getTime1() == None and self.getTime2() and self.getOrder():
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#for HOS
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incr = self.getIncrement()
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timeArray = np.arange(0, len(self.getCF()) * incr,
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incr) + self.getCut()[0]
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elif self.getTime1() == None and self.getTime2() and self.getOrder() == None:
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#for AIC-HOS
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incr = self.getIncrement()
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timeArray = np.arange(0, len(self.getCF()) * incr,
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incr) + self.getCut()[0]
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elif self.getTime1() and self.getTime2() and self.getOrder() == 0:
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#for AIC-AR
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if self.getTime1():
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incr = self.getARdetStep()
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timeArray = np.arange(0, len(self.getCF()) * incr,
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incr) + self.getCut()[0] + self.getTime1() + self.getTime2()
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elif self.getTime1() and self.getTime2() and self.getOrder():
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#for AR
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incr = self.getARdetStep()
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timeArray = np.arange(0, len(self.getCF()) * incr,
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incr) + self.getCut()[0] + self.getTime1() + self.getTime2()
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return timeArray
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self.TimeArray = np.arange(0, len(self.getCF()) * incr[0], incr[0]) + self.getCut()[0] \
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+ self.getTime1() + self.getTime2()
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else:
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incr = self.getIncrement()
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self.TimeArray = np.arange(0, len(self.getCF()) * incr, incr) + self.getCut()[0]
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return self.TimeArray
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def getFnoise(self):
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return self.fnoise
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@ -288,7 +277,8 @@ class ARZcf(CharacteristicFunction):
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lpred = int(np.ceil(self.getTime2() / self.getIncrement())) #length of AR-prediction window [samples]
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cf = []
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for i in range(ldet + self.getOrder() - 1, tend - lpred + 1, lpred / 4):
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loopstep = self.getARdetStep()
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for i in range(ldet + self.getOrder() - 1, tend - lpred + 1, loopstep[1]):
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#determination of AR coefficients
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self.arDetZ(xnoise, self.getOrder(), i-ldet, i)
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#AR prediction of waveform using calculated AR coefficients
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@ -301,6 +291,7 @@ class ARZcf(CharacteristicFunction):
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cf = np.asarray(cf)
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self.cf = cf
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def arDetZ(self, data, order, rind, ldet):
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'''
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Function to calculate AR parameters arpara after Thomas Meier (CAU), published
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@ -399,7 +390,8 @@ class ARHcf(CharacteristicFunction):
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lpred = int(np.ceil(self.getTime2() / self.getIncrement())) #length of AR-prediction window [samples]
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cf = []
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for i in range(ldet + self.getOrder() - 3, tend - lpred + 1, lpred / 4):
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loopstep = self.getARdetStep()
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for i in range(ldet + self.getOrder() - 3, tend - lpred + 1, loopstep[1]):
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self.arDetH(Xnoise, self.getOrder(), i-ldet, i)
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#AR prediction of waveform using calculated AR coefficients
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self.arPredH(xnp, self.arpara, i + 1, lpred)
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@ -516,7 +508,8 @@ class AR3Ccf(CharacteristicFunction):
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lpred = int(np.ceil(self.getTime2() / self.getIncrement())) #length of AR-prediction window [samples]
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cf = []
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for i in range(ldet + self.getOrder() - 3, tend - lpred + 1, lpred / 4):
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loopstep = self.getARdetStep()
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for i in range(ldet + self.getOrder() - 3, tend - lpred + 1, loopstep[1]):
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self.arDet3C(Xnoise, self.getOrder(), i-ldet, i)
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#AR prediction of waveform using calculated AR coefficients
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self.arPred3C(xnp, self.arpara, i + 1, lpred)
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