Method ssm/findDiffStep


  findDiffStep search optimal step for differentiation.
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  DESCRIPTION: Perform a scan of the derivative step for ssm
  systems and output the optimal step for the derivative calculated with
  ssm/parameterDiff
 
  CALL:        step = findDiffStep(ssm, pl)
 
  INPUTS:      ssm:   A ssm system
                pl:   A parameters list
  
  OUTPUT:      step:   Is a cdata Ao containing the optimal steps
  corresponding to the given parameters for the differentiation.
  
  Parameters Description
 
  VERSION:     $Id$
 
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Method Details
Access public
Defining Class ssm
Sealed 0
Static 0

Parameter Description

Default

no description
Key Default Value Options Description
INNAMES {} [0x0] none A cell array containing the input port name.
OUTNAMES {} [0x0] none A cell array containing the output port name?.
PARAMS {} [0x0] none A cell array with the names of the parameters
PARAMVALUES [] none An array with the values of the parameters
LOWSTEP 1e-08 none Lower step. It is a multiplicative factor.True lower step is given by lowstep.*ParamValues
UPSTEP 0.10000000000000001 none Upper step. It is a multiplicative factor.True upper step is given by upstep.*ParamValues
NSTEP [] none Number of steps.
STEPTYPE 'log'
  • 'log'
  • 'lin'
Type of step scan.
F [] none Vector of frequencies for bode response. In Hz
PLOTRESULTS 0
  • 0
  • 1
Decide to plot results for the stability ofthe derivative averaged over the frequencies f
OUTPUTFIT 1
  • 1
  • 0
Decide to a second order linear fit to output dataand output the minimum of the fit parabola as optimal step
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Some information of the method ssm/findDiffStep are listed below:
Class name ssm
Method name findDiffStep
Category Signal Processing
Package name LPF_DA_Module
VCS Version 9261be27dd1a3f454871757ac6dc9e0fb5b06f94
Min input args 1
Max input args -1
Min output args 1
Max output args -1




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