data_processing.py 文件源码

def apply(self,shot):
        super(AveragingVarNormalizer,self).apply(shot)
        window_decay = self.conf['data']['window_decay']
        window_size = self.conf['data']['window_size']
        window = exponential(window_size,0,window_decay,False)
        window /= np.sum(window)
        shot.signals = apply_along_axis(lambda m : correlate(m,window,'valid'),axis=0,arr=shot.signals)
        shot.ttd = shot.ttd[-shot.signals.shape[0]:]