Owning Palette: Modeling and Prediction VIs
Installed With: Advanced Signal Processing Toolkit
Estimates the stochastic state-space model of an input multivariate (vector) time series. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.
Use the pull-down menu to select an instance of this VI.
c.gif)
![]() |
Xt specifies the input multivariate (vector) time series. The number of samples must be greater than two times model order. | ||||||||
![]() |
model order specifies the model order of the state-space model. The value of model order must be at least twice the number of frequency components that you want to estimate. The default is 4. | ||||||||
![]() |
error in describes error conditions that occur before this VI or function runs.
The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
| ||||||||
![]() |
noise subspace specifies the percentage of the noise subspace in the whole space, which is the combination of the signal subspace and the noise subspace. The default is 10. | ||||||||
![]() |
A returns the estimated state transition matrix of the stochastic state-space model. | ||||||||
![]() |
C returns the estimated measurement matrix of the stochastic state-space model. | ||||||||
![]() |
frequency components returns information about the estimated frequency components.
| ||||||||
![]() |
error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces.
Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
|
c.gif)
![]() |
Xt specifies the input multivariate (vector) time series. Each column of the 2D array represents a vector at certain time. | ||||||||
![]() |
model order specifies the model order of the state-space model. The value of model order must be at least twice the number of frequency components that you want to estimate. The default is 4. | ||||||||
![]() |
error in describes error conditions that occur before this VI or function runs.
The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
| ||||||||
![]() |
noise subspace specifies the percentage of the noise subspace in the whole space, which is the combination of the signal subspace and the noise subspace. The default is 10. | ||||||||
![]() |
A returns the estimated state transition matrix of the stochastic state-space model. | ||||||||
![]() |
C returns the estimated measurement matrix of the stochastic state-space model. | ||||||||
![]() |
frequency components returns information about the estimated frequency components.
| ||||||||
![]() |
error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces.
Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
|
This VI estimates the stochastic state-space model of a multivariate (vector) time series according to the following equations:
Sk+1 = ASk + wk
xk = CSk+vk
xk is the m×1 vector time series with m variables, Sk is the state vector with n state variables, n is model order, A is the state transition matrix with the size n × n, C is the measurement matrix with the size m × n, and wk and vk are n × 1 and m × 1 noise vectors, respectively, with a mean of zero.
You can use the estimated stochastic state-space model to describe the signal subspace. The noise subspace parameter specifies the amount of noise subspace as a percentage in the whole space, which is the combination of the signal subspace and the noise subspace.
You can characterize the dynamic behavior of a system by converting the matrix A and matrix C into the frequency, damping factor, magnitude and phase parameters that the modal parametric model contains. Refer to the TSA Modal Parametric Modeling VI for the definition of modal parameters.