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CGFILL fills specified gaps in the data given an inital guess for the spectrum. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: CGFILL fills specified gaps in the data given an inital guess for the spectrum using the constrained gaussian method. At present, it only fits data described by a piecewise power-law spectrum 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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| Method Details | |
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| Access | public |
| Defining Class | ao |
| Sealed | 0 |
| Static | 0 |
| Sets for this method … |
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| Default |
Default |
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| no description | |||
| Key | Default Value | Options | Description |
| psd | |||
| WIN | 'Hanning' |
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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') |
| powerFit | |||
| 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. |
| OFFSETS | [] | none | offset frequencies of the power-law from DC. |
| WEIGHTS | [] | none | Weights for individual data bins. If empty, all bins are weighted equally. Can also be a plist for a built-in ao model |
| subsData | |||
| 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 |
| SUB_FLAG | [] | none | Timeseries AO containing ones where data should substituted and zeros where it should be kept. NOTE: This is an alternative to specifying Indices. |
| SEED | [] | none | Set the set used to initialise the random number generator which generates the random data for the gaps. |
| iacf | |||
| SAMPLES | [] | none | The number of samples to truncate the correlation vector to. If empty, the full inverse correlation vector will be returned. |
| cgfill | |||
| NITER, ITERATIONS | 1 | none | The number of iterations to perform for the 'iterate' mode. |
| MODE | 'iterate' | none | The method for deciding when to end the filling procedure:
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| PRE_FILTER | [] | none | Filter applied to data (multiplicaiton) before fitting to correct for non-powerlaw behavior in PSD.Can either be an AO, an array, or a plist for a built-in AO model |
| SEGLEN | [] | none | Specify the length of segments (in seconds) to fill individually on each iteration. If left empty, the full data will be filled each time. Note: if this parameter is specified, the 'SAMPLES' parameter is ignored and the correlation function is computed for the full length of each individual segment. |
| OLAP | 50 | none | Target overlap fraction (%). This may be adjusted slightly internally to better fit the segments to the full input data. |
| X_VAR | 'F' | none | Key value for dependant variable for the case in which PRE_FILTER is a plist for a built-in AO model |
| DEBUG | 0 |
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Set to true to put additional objects into procinfo |
Example |
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| plist('WIN', 'Hanning', 'ORDERS', [0], 'P0', [1], 'OFFSETS', [[]], 'WEIGHTS', [[]], 'INDICES', [[]], 'SUB_FLAG', [[]], 'SEED', [[]], 'SAMPLES', [[]], 'NITER', [1], 'MODE', 'iterate', 'PRE_FILTER', [[]], 'SEGLEN', [[]], 'OLAP', [50], 'X_VAR', 'F', 'DEBUG', [false]) |
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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 |
| Can be used as modifier | 1 |
| Supported numeric types | {'double'} |
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Method: ao/cdfplot | Method: ao/cohere | ![]() |
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