def downsample(self, factor):
self.data = sig.downsample(self.data, factor)
self.markers = sig.downsample(self.markers, factor)
self.sampRate /= float(factor)
self.nObs = self.data.shape[0]
self.nSec = self.nObs / float(self.sampRate)
return self
def decimate(self, factor, *args, **kwargs):
self.data = sig.decimate(self.data, factor, *args, **kwargs)
self.markers = sig.downsample(self.markers, factor)
self.sampRate /= float(factor)
self.nObs = self.data.shape[0]
self.nSec = self.nObs / float(self.sampRate)
return self
def downsample(self, factor):
self.data = np.asarray([sig.downsample(seg, factor) for seg in self.data],
dtype=self.dtype)
self.sampRate /= float(factor)
self.nObs = self.data.shape[1]
self.nSec = self.nObs / float(self.sampRate)
self.setStart()
return self
def resample(self, factorDown, factorUp=1, interpKwargs=dict(), **decimKwargs):
self.data = np.asarray(
[sig.resample(seg, factorDown=factorDown, factorUp=factorUp,
interpKwargs=interpKwargs, **decimKwargs)
for seg in self.data], dtype=self.dtype)
self.markers = sig.upsample(self.markers, factorUp)
self.markers = sig.downsample(self.markers, factorDown)
self.sampRate *= float(factorUp)
self.sampRate /= float(factorDown)
self.nObs = self.data.shape[1]
self.nSec = self.nObs / float(self.sampRate)
self.setStart()
return self
def resample(self,
factorDown,
factorUp=1,
interpKwargs=dict(),
**decimKwargs):
self.data = sig.resample(self.data,
factorDown,
factorUp,
interpKwargs=interpKwargs,
**decimKwargs)
self.markers = sig.upsample(self.markers, factorUp)
self.markers = sig.downsample(self.markers, factorDown)
self.sampRate *= float(factorUp)
self.sampRate /= float(factorDown)
self.nObs = self.data.shape[0]
self.nSec = self.nObs / float(self.sampRate)
return self