In an era where autonomous systems demand pinpoint accuracy, navigation algorithms face a tough trade-off between precision ...

The Stanford-developed ReFIT (or Recalibrated Feedback Intention-Trained Kalman filter) algorithm harnesses this with a silicon chip which is implanted into the brain of the subject and records ...

M. Bierlaire, F. Crittin, An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables, Operations Research, Vol. 52, No. 1 (Jan. - Feb., 2004 ...

The fault detection method of AC charging pile in coastal cities based on Kalman filter algorithm is studied. Through data fusion, algorithm fusion and other methods, the information related to the ...

This example estimates the normal SSM of the mink-muskrat data using the EM algorithm. The mink-muskrat series are detrended. Refer to Harvey (1989) for details of this data set. Since this EM ...

If you program using values that represent anything in the real world, you have probably at least heard of the Kalman filter. The filter allows you to take multiple value estimates and process ...