| 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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| 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 |
| NAVS | 5 | none | The number of averages to use when calculating PSD and CPSD. |
| FITPARAMS | '' | none | Parameters of the model |
| INNAMES | 1 | none | Input names. Used for ssm models. |
| OUTNAMES | 1 | none | Output names. Used for ssm models. |
| PARAMSVALUES | 1 | none | The numerical values of the parameters. |
| MODEL | '' | none | An array of matrix models |
| INPUT | '' | none | The input signal to the system. It should be a matrix of AOs, the rows denoting the channels, and the columns the number of experiments. An array of matrix objects is also accepted. |
| PINV | 1 |
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Use the Penrose-Moore pseudoinverse |
| TOL | [] | none | Tolerance for the Penrose-Moore pseudoinverse |
| DIFFSTEP | [] | 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. |
| LOG PARAMETERS | [] | none | An array with upper and lower values for the parameters ranges. To be used to compute the optimal differentiation step for ssm models. |
| FREQUENCIES | [] | none | The frequencies to perform the analysis. |
| FSOUT | [] | none | Resampling. |
| F1 | [] | none | Initial frequency for the analysis. |
| F2 | [] | none | Final frequency for the analysis. |
| NOISE SCALE | 'PSD' |
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Select the way to handle the noise/weight data. Can use the PSD/CPSD or the LPSD/CLPSD functions. |
| 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 | 'Hanning' |
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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, N | 0 |
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The order of segment detrending:
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| TIMES, 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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| Some information of the method matrix/crb are listed below: | |
|---|---|
| Class name | matrix |
| Method name | crb |
| 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 |
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Method: matrix/cpsd | Method: matrix/detrend | ![]() |
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