Use maximum of HOS/AR-CF instead of AIC-CF to start searching for global minimum in AIC function.

This commit is contained in:
Ludger Küperkoch 2017-05-05 14:06:58 +02:00
parent 6563b01293
commit f4a76680ad

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@ -172,21 +172,14 @@ class AICPicker(AutoPicker):
aicsmooth[i] = aicsmooth[i - 1] + (aic[i] - aic[ii1]) / ismooth
else:
aicsmooth[i] = np.mean(aic[1: i])
# remove offset
# remove offset in AIC function
offset = abs(min(aic) - min(aicsmooth))
aicsmooth = aicsmooth - offset
# get maximum of 1st derivative of AIC-CF (more stable!) as starting point
diffcf = np.diff(aicsmooth)
# find NaN's
nn = np.isnan(diffcf)
if len(nn) > 1:
diffcf[nn] = 0
# taper CF to get rid off side maxima
tap = np.hanning(len(diffcf))
diffcf = tap * diffcf * max(abs(aicsmooth))
icfmax = np.argmax(diffcf)
# get maximum of HOS/AR-CF as startimg point for searching
# minimum in AIC function
icfmax = np.argmax(self.Data[0].data)
# find minimum in AIC-CF front of maximum
# find minimum in AIC-CF front of maximum of HOS/AR-CF
lpickwindow = int(round(self.PickWindow / self.dt))
for i in range(icfmax - 1, max([icfmax - lpickwindow, 2]), -1):
if aicsmooth[i - 1] >= aicsmooth[i]:
@ -195,6 +188,14 @@ class AICPicker(AutoPicker):
# if no minimum could be found:
# search in 1st derivative of AIC-CF
if self.Pick is None:
diffcf = np.diff(aicsmooth)
# find NaN's
nn = np.isnan(diffcf)
if len(nn) > 1:
diffcf[nn] = 0
# taper CF to get rid off side maxima
tap = np.hanning(len(diffcf))
diffcf = tap * diffcf * max(abs(aicsmooth))
for i in range(icfmax - 1, max([icfmax - lpickwindow, 2]), -1):
if diffcf[i - 1] >= diffcf[i]:
self.Pick = self.Tcf[i]