LTPDA Toolbox™

Method ao/spikecleaning

  spikecleaning detects and corrects possible spikes in analysis objects
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  DESCRIPTION: SPIKECLEANING detects spikes in the temperature data and
 	           replaces them by artificial values depending on the method
               chosen ('random', 'mean', 'previous', 'linear', 'spline').
               The first three methods consider extrapolation techniques
               linear and spline apply interpolations to the data.
 
 	           Spikes are defined as singular samples or groups of samples
               with an (absolute) value higher than kspike times the
               standard deviation of the high-pass filtered (IIR filter)
               input AO.x
 
  CALL:        b = spikecleaning(a1, a2, ..., an, pl)
 
  INPUTS:    aN - a list of analysis objects
 	           pl - parameter list
 
  OUTPUTS:     b - a list of analysis objects with "spike values" removed
               and corrected
 
  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
spikecleaning
KSPIKE	3.2999999999999998	none	High values imply no correction of relative low amplitude spikes.
FC	0.025000000000000001	none	Frequency cut-off of the IIR filter.
ORDER	2	none	The order of the IIR filter.
RIPPLE	0.5	none	Specify the pass/stop-band ripple for bandpass/bandreject filters
METHOD	'random'	'random' 'mean' 'previous' 'spline' 'linear'	The method used to replace the spike value. Random and mean follow extrapolation methods while spline and linear follow interpolateion methods.
NUMPREVPOINTS	4	none	Number of previous points to delete and interpolate.
NUMFOLLPOINTS	5	none	Number of following points to delete and interpolate.
INTERPOINTS	10	none	Length of the segments at both sides of the spike that are going to be used when interpolating.
DIFFSPIKES	6	none	Minimum distance in samples between spikes to consider them different spikes.
TIMES	1	none	Number of times to clean the spikes recursively.
REMOVEDDSTEMPERATUREOFFSET	0	0 1	Remove DDS temperature offset after scale change tranitory
OFFSETTHRESHOLD	0.001	none	Offset threshold when removing the DDS temperature offset after scale change (only if selected).
RAND_STREAM	[]	none	Internal MATLAB state of the pseudorandom number generator. You can set the state with a structure which should contain all properties of the MATLAB class RandStream

Example
plist('KSPIKE', [3.2999999999999998], 'FC', [0.025000000000000001], 'ORDER', [2], 'RIPPLE', [0.5], 'METHOD', 'random', 'NUMPREVPOINTS', [4], 'NUMFOLLPOINTS', [5], 'INTERPOINTS', [10], 'DIFFSPIKES', [6], 'TIMES', [1], 'REMOVEDDSTEMPERATUREOFFSET', [0], 'OFFSETTHRESHOLD', [0.001], 'RAND_STREAM', [[]])

Some information of the method ao/spikecleaning are listed below:
Class name	ao
Method name	spikecleaning
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	0
Supported numeric types	{'double'}

Method: ao/spectrogram

Method: ao/split

Method ao/spikecleaning

Parameter Description

Default

Example