daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Edit to fit on 6x9 book.

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Somewhat arbitrary, but I want the code to be readable on
narrow paper than 8.5x11.
This commit is contained in:
Roger Labbe
2015-07-25 23:46:59 -07:00
parent 82f4e1569b
commit 925498a19e
21 changed files with 1445 additions and 1533 deletions
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6
code/DogSimulation.py
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@@ -13,7 +13,7 @@ import math
class DogSimulation(object):
def __init__(self, x0=0, velocity=1,
measurement_variance=0.0, process_variance=0.0):
measurement_var=0.0, process_var=0.0):
""" x0 - initial position
velocity - (+=right, -=left)
measurement_variance - variance in measurement m^2
@@ -21,8 +21,8 @@ class DogSimulation(object):
"""
self.x = x0
self.velocity = velocity
self.measurement_noise = math.sqrt(measurement_variance)
self.process_noise = math.sqrt(process_variance)
self.measurement_noise = math.sqrt(measurement_var)
self.process_noise = math.sqrt(process_var)
def move(self, dt=1.0):