Method ao/crbound


  CRBOUND computes the inverse of the Fisher Matrix
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  DESCRIPTION: CRBOUND computes the Cramer-Rao lowe bound for parametric
               model given the input signals and the noise. The method
               accepts 2D (2 input/2 output) models and 1D models
               (1 input/1 output) and (2 input/1 output)
 
  CALL:        bs = crbound(in,noise,pl)
 
  INPUTS:      in      - analysis objects with input signals to the system
                         (x1) if 1 input 
                         (x2) if 2 input 
               noise   - analysis objects with measured noise 
                         (x1) if 1 input: S11 
                         (x4) if 2 input: (S11,S12,S21,S22) 
               model   - symbolic model (smodel) containing the evaluated
                         transfer function models
                         (x1) if 1 input/1 output
                         (x2) if 2 input/1 output
                         (x4) if 2 input/2 output
               pl      - parameter list
 
  OUTPUTS:     bs   - covariance matrix AO
 
  Parameters Description
 
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Method Details
Access public
Defining Class ao
Sealed 0
Static 0

Parameter Description

Default

no description
Key Default Value Options Description
crbound
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'
  • 'Rectangular'
  • 'Welch'
  • 'Bartlett'
  • 'Hanning'
  • 'Hamming'
  • 'Nuttall3'
  • 'Nuttall4'
  • 'Nuttall3a'
  • 'Nuttall3b'
  • 'Nuttall4a'
  • 'Nuttall4b'
  • 'Nuttall4c'
  • 'BH92'
  • 'SFT3F'
  • 'SFT3M'
  • 'FTNI'
  • 'SFT4F'
  • 'SFT5F'
  • 'SFT4M'
  • 'FTHP'
  • 'HFT70'
  • 'FTSRS'
  • 'SFT5M'
  • 'HFT90D'
  • 'HFT95'
  • 'HFT116D'
  • 'HFT144D'
  • 'HFT169D'
  • 'HFT196D'
  • 'HFT223D'
  • 'HFT248D'
  • 'Kaiser'
  • 'levelledHanning'
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
  • -1
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
The order of segment detrending:
  • -1 - no detrending
  • 0 - subtract mean
  • 1 - subtract linear fit
  • N - subtract fit of polynomial, order N
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.
DROP WINDOW SAMPLES 1
  • 1
  • 0
Drop the recommended (by the window) number of samples of the final computed spectral series.
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:
  • a vector of doubles
  • a timespan object
  • a cell array of time strings
  • a vector of time objects
PARAMS '' none Parameters of the model
MODELS '' none Symbolic models of the system
FREQUENCIES '' none Array of start/sop frequencies where the analysis is performed
PINV 1
  • 1
  • 0
Use the Penrose-Moore pseudoinverse
TOL [] none Tolerance for the Penrose-Moore pseudoinverse

Example

plist('NFFT', [-1], 'WIN', 'BH92', 'PSLL', [200], 'OLAP', [-1], 'ORDER', [0], 'NAVS', [1], 'DROP WINDOW SAMPLES', [true], 'TIMES', [[]], 'PARAMS', '', 'MODELS', '', 'FREQUENCIES', '', 'PINV', [true], 'TOL', [[]])

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Some information of the method ao/crbound are listed below:
Class name ao
Method name crbound
Category Signal Processing
Package name ltpda
VCS Version 967b0eec0dece803a81af8ef54ad2f8c784b20b2
Min input args 1
Max input args -1
Min output args 1
Max output args -1
Can be used as modifier 1
Supported numeric types {'double'}




©LTP Team