open source driving agent
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"""Classes for filtering discrete time signals."""
import numpy as np
class FirstOrderLowpassFilter(object):
def __init__(self, fc, dt, x1=0):
self.kf = 2 * np.pi * fc * dt / (1 + 2 * np.pi * fc * dt)
self.x1 = x1
def __call__(self, x):
self.x1 = (1 - self.kf) * self.x1 + self.kf * x
# If previous or current is NaN, reset filter.
if np.isnan(self.x1):
self.x1 = x
return self.x1