| LTPDA Toolbox™ | contents | ![]() |
CRB computes the inverse of the Fisher Matrix %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: CRB computes the inverse of the Fisher Matrix CALL: bs = crb(in,pl) INPUTS: in - matrix objects with input signals to the system model - symbolic models containing the transfer function model pl - parameter list OUTPUTS: bs - covariance matrix AO Parameters Description VERSION: $Id: crb.m,v 1.23 2012/06/02 07:20:19 hewitson Exp $ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| Method Details | |
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| Access | public |
| Defining Class | matrix |
| Sealed | 0 |
| Static | 0 |
| Sets for this method … |
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| Default |
Default |
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| no description | |||
| Key | Default Value | Options | Description |
| NFFT | -1 | none | The number of samples in each fft [default: length of input data]. A string value containing the variable 'fs' can also be used, e.g., plist('Nfft', '2*fs') |
| WIN | 'BH92' |
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The window to be applied to the data to remove the discontinuities at edges of segments. [default: taken from user prefs] Only the design parameters of the window object are used. Enter a string value containing the window name e.g. plist('Win', 'Kaiser', 'psll', 200) plist('Win', 'BH92') |
| PSLL | 200 | none | The peak sidelobe level for Kaiser windows. Note: it is ignored for all other windows |
| OLAP | -1 | none | The segment percent overlap [-1 == take from window function] |
| ORDER | 0 |
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The order of segment detrending:
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| NAVS | 1 | none | Force number of averages. If set, and if Nfft was set to 0 or -1, the number of points for each window will be calculated to match the request. |
| TIMES | [] | none | The time range to analyze. If not empty, sets the time interval to operate on. As in ao/split, the interval can be specified by:
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| SPLIT | [] | none | The time range to analyze. If not empty, sets the time interval to operate on. As in ao/split, the interval can be specified by:
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| F1 | [] | none | Initial frequency for the analysis |
| F2 | [] | none | Final frequency for the analysis |
| FITPARAMAS | '' | none | Parameters of the model |
| MODEL | '' | none | An array of matrix models |
| NOISE | '' | none | An array of matrices with the cross-spectrum matrices |
| BUILT-IN | '' | none | Symbolic models of the system as a string of built-in models |
| FREQUENCIES | '' | none | Array of start/sop frequencies where the analysis is performed |
| PINV | 1 |
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Use the Penrose-Moore pseudoinverse |
| TOL | [] | none | Tolerance for the Penrose-Moore pseudoinverse |
| STEP | [] | none | Numerical differentiation step for ssm models |
| NGRID | [] | none | Number of points in the grid to compute the optimal differentiation step for ssm models |
| STEPRANGES | [] | none | An array with upper and lower values for the parameters ranges. To be used to compute the optimal differentiation step for ssm models. |
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| Some information of the method matrix/crb are listed below: | |
|---|---|
| Class name | matrix |
| Method name | crb |
| Category | Signal Processing |
| CVS Version | $Id: crb.m,v 1.23 2012/06/02 07:20:19 hewitson Exp $ |
| Min input args | 1 |
| Max input args | -1 |
| Min output args | 1 |
| Max output args | -1 |
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Method: matrix/ne | Method: matrix/dispersion | ![]() |
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