LTPDA Toolbox™

Method ao/svd_fit

  SVD_FIT estimates parameters for a linear model using SVD
 
  DESCRIPTION: SVD_FIT estimates parameters for a linear model using SVD
 
  CALL:        X = svd_fit([C1 C2 ... CN], Y, pl)
               X = svd_fit(C1,C2,C3,...,CN, Y, pl)
 
  INPUTS:      C1...CN - AOs defing the models to fit the measurement set to.
               Y       - AO which represents the measurement set
 
  Note: the length of the vectors in Ci and Y must be the same.
  Note: the last input AO is taken as Y.
 
               pl - parameter list (see below)
 
  OUTPUTs:     X  - An AO with N elements with the fitting coefficients to y_i 
                    OR
                  - a vector of N AOs each with one fitting coefficient to y_i
                    
  The procinfo field of the output AOs is filled with the following key/value
  pairs:
 
     'STDX' - standard deviations of the parameters
     'MSE' - the mean-squared errors
     'COV' - the covariance matrix
  
  
  PARAMETERS:
 
  Parameters Description
 
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Method Details
Access	public
Defining Class	ao
Sealed	0
Static	0

Parameter Description

Sets for this method …
Default

Default
no description
Key	Default Value	Options	Description
svd_fit
VECTOR_OUT	1	1 0	The estimated coefficients are output as a vector of AOs.

Example
plist('VECTOR_OUT', [true])

Some information of the method ao/svd_fit are listed below:
Class name	ao
Method name	svd_fit
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'}

Method: ao/subsData

Method: ao/tdfit

Method ao/svd_fit

Parameter Description

Default

Example