LTPDA Toolbox™ | contents | ![]() ![]() |
MCHNOISEGENFILTER Construct a matrix filter from cross-spectral density matrix %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FUNCTION: mchNoisegenFilter DESCRIPTION: Construct matrix filter from cross-spectral density. Such a filter can be used for multichannel noise generation in combination with the mchNoisegen method of the matrix class. CALL: fil = mchNoisegenFilter(mod, pl) INPUT: mod: is a matrix object containing the model for the target cross-spectral density matrix. Elements of mod must be fsdata analysis objects. OUTPUT: fil: is a matrix object containing the noise generating filter. Such a filter can be used to generate colored noise from uncorrelated unitary variance white time series. Fil can be a matrix of filterbanks objects or of parfrac objects according to the chosen output options. NOTE: The cross-spectral matrix is assumed to be frequency by frequency of the type: / csd11(f) csd12(f) \ CSD(f) = | | \ csd21(f) csd22(f) / HISTORY: 22-04-2009 L Ferraioli Creation ------------------------------------------------------------------------ Parameters Description %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Method Details | |
---|---|
Access | public |
Defining Class | matrix |
Sealed | 0 |
Static | 0 |
Sets for this method … |
---|
Default |
Default |
|||
---|---|---|---|
no description | |||
Key | Default Value | Options | Description |
TARGETOBJ | 'miir' |
|
Choose the type of output objects:
|
FS | 1 | none | The sampling frequency of the discrete filters. |
IUNITS | '' | none | The unit to set as input unit for the output filters |
OUNITS | '' | none | The unit to set as output unit for the output filters |
INITFILTER | 1 |
|
Initialize filters (works only for miir objects) to cope with startup transients. |
MAXITER | 50 | none | Maximum number of fit iterations. |
POLETYPE | 1 |
|
Choose the pole type for fitting initialization:
|
MINORDER | 7 | none | Minimum order to fit with. |
MAXORDER | 35 | none | Maximum order to fit with. |
WEIGHTS | 3 |
|
Choose weighting for the fit:
|
PLOT | 0 |
|
Plot results of each fitting step. |
MSEVARTOL | 0.10000000000000001 | none | Mean Squared Error Variation - Check if the realtive variation of the mean squared error is smaller than the value specified. This option is useful for finding the minimum of Chi squared. |
FITTOL | 0.01 | none | Mean Squared Error Value - Check if the mean squared error value is lower than the value specified. |
USESYM | 'on' |
|
Use symbolic calculation in eigen-decomposition.
|
RAND_STREAM | [] | none | Internal MATLAB state of the pseudorandom number generator. You can set the state with a structure which should contain all properties of the MATLAB class RandStream |
Some information of the method matrix/mchNoisegenFilter are listed below: | |
---|---|
Class name | matrix |
Method name | mchNoisegenFilter |
Category | Signal Processing |
Package name | ltpda |
VCS Version | 8ab8cbbc4bccf7543491a24448f4aae0b1be1c43 |
Min input args | 1 |
Max input args | -1 |
Min output args | 1 |
Max output args | 1 |
![]() |
Method: matrix/mchNoisegen | Method: matrix/mcmc | ![]() |
©LTP Team