Method ao/cgfill


  CGFILL fills specified gaps in the data given an inital guess for the spectrum.
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  DESCRIPTION: CGFILL fills specified gaps in the data given an
               inital guess for the spectrum using the constrained gaussian
               method.
 
 
  CALL:        out = obj.cgfill(pl)
               out = cgfill(objs, pl)
 
  INPUTS:      pl      - a parameter list
               obj(s)  - input ao object(s)
 
  OUTPUTS:     out - filled data series.
  
  
  Created 2013-02-20, M Hewitson
      - adapted from code writen by Curt Cutler and Ira Thorpe.
  
  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
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.
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
SCALE 'PSD'
  • 'PSD'
  • 'ASD'
  • 'PS'
  • 'AS'
The scaling of output. Choose from:
  • PSD - Power Spectral Density
  • ASD - Amplitude (linear) Spectral Density
  • PS - Power Spectrum
  • AS - Amplitude (linear) Spectrum
ORDERS 0 none The powers of the dependent variable to fit to the data.
P0 1 none An initial guess for the power-law coefficients.
INDICES [] none List of start/stop index pairs for data to be subsituted (Nx2). Can either be an array of doubles or a cdata ao
SAMPLES [] none The number of samples to truncate the correlation vector to. If empty, the full inverse correlation vector will be returned.
F TRIM [0 Inf] none The range of frequencies (lower and upper) of the spectrum when fitting the spectral model.
BIN SPECTRUM 1
  • 1
  • 0
Choose whether or not to smooth the spectral data before fitting using ao/bin_data.
MODE 'iterate' none The method for deciding when to end the filling procedure:
  • iterate - Run the procedure N times then stop
NITER 1 none The number of iterations to perform for the 'iterate' mode.
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Some information of the method ao/cgfill are listed below:
Class name ao
Method name cgfill
Category Signal Processing
Package name ltpda
VCS Version 3542afe99dea25c636b7ac3b82a9f6f8be9d447d
Min input args 1
Max input args -1
Min output args 1
Max output args -1




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