The Personal Software Process (PSP) shows engineers how to:
1)manage the quality of their projects
2)make commitments they can meet
3)improve estimating and planning
4)reduce defects in their products
Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.
The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005
