LTPDA Toolbox™  contents 

The following sections gives an introduction to the linear parameters estimation methods based on singular value decomposition.
We report an example of the application of ao/linlsqsvd. The example shows how to perform a linear parameters estimation for a single data series which is representing the output of an experiment on a given physical system.
We report an example of the application of matrix/linlsqsvd. The example shows how to perform a linear parameters estimation for multiple data series which are representing the output of multiple experiments on a given physical system.
We report an example of the application of matrix/linfitsvd. The example shows how to perform an iterative linear parameters estimation for a multichannel system. System model is analystic and frequency domain. Fit is performed in time domain. Further details can be found in ref. [1].
We report an example of the application of matrix/linfitsvd. The example shows how to perform an iterative linear parameters estimation for a multichannel system. System model is ssm and time domain. Fit is performed in time domain.
Markov Chain Monte Carlo  Simple experiment  Linear least squares with singular value deconposition  single experiment 
©LTP Team