Questions tagged [pykalman]

A Python statistics library featuring a Kalman Filter, Kalman Smoother, and EM algorithm.

Documentation

53 questions
0
votes
1 answer

Kalman filter to predict previous step from future

I am new to Kalman filters and trying to use it for predicting missing values as well as getting smoothed observation from GPS data (latitude and longitude). I am using pykalman and my code block looks like this: data = data[['Lat',…
0
votes
0 answers

extended kalman filter(EKF): add a bias to measurent and estimation

I working on EKF and try to add a bias(1 degree or 1 arcsec) to the measurements. I have two measurements(angles) and finding the position(3) and velocity(3) so total state(6) so I want to extend the filter and for bias estimation (7th and 8th…
0
votes
1 answer

Kalman Filter (pykalman): Value for obs_covariance and model without intercept

I am looking at the KalmanFilter from pykalman shown in examples: pykalman documentation Example 1 Example 2 and I am wondering observation_covariance=100, vs observation_covariance=1, the documentation states observation_covariance R: e(t)^2 ~…
eternity1
  • 651
  • 2
  • 15
  • 31
0
votes
0 answers

Using pykalman on live data

All the examples I've seen on pykalman documentation works on a given dataset, I was wandering how it could be used by feeding a single observation at the time while taking into account the time delta. From the documentation: from pykalman import…
Cesar
  • 4,418
  • 2
  • 31
  • 37
0
votes
1 answer

EM algo returns different answers using pykalman

I came across a problem when I was using pykalman 0.9.5 in Python 3.6.3 Refer to the code below, why are the results from kf2 and kf3 are different while the results from kf1 and kf3 are identical? The difference of process between kf2 and kf3 is…
0
votes
1 answer

I want to calculate slope and intercept of a linear fit using pykalman module

Consider the linear regression of Y on X, where (xi, yi) = (2, 7), (0, 2), (5, 14) for i = 1, 2, 3. The solution is (a, b) = (2.395, 2.079), obtained using the regression function on a hand-held calculator. I want to calculate the slope and the…
0
votes
1 answer

how to filter the abnormal temperature and humidity sensor values

The temperature and humidity sensors get abnormal values like 80 degree from time to time. How to filter the abnormal temperature and humidity sensor values? Is Kalman filtering the solution to filter out the abnormal values.
vaj oja
  • 1,151
  • 2
  • 16
  • 47
0
votes
2 answers

Kalman filter sensor fusion for FALL detection: Accelerometer + Gyroscope

I am trying to understand the process of sensor fusion and along with it Kalman filtering too. My goal is to detect Fall of a device using Accelerometer and Gyroscope. In most of the papers such as this one, It mentions how to overcome drift…
OSK
  • 596
  • 1
  • 7
  • 23
1 2 3
4