LTPDA Toolbox™ | contents | ![]() ![]() |
LCOHERE estimates the coherence between elements of the vector using a log-spaced frequency axis. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: LCOHERE estimates the coherence between the elements of the vector input on a log-spaced frequency axis. The elements are expected to be time-series AOs, otherwise an error will occur. The input should be a vector of time-series AOs of length N. LCOHERE will then compute all coherences between the elements of the vector, resulting in a symmetric matrix of size NxN. CALL: mo = ltfe(mi, pl) INPUTS: mi - input matrix object of size Nx1 (or 1xN) pl - input parameter list OUTPUTS: mo - output matrix object of size NxN Parameters Description %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Method Details | |
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Access | public |
Defining Class | matrix |
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 |
lcohere | |||
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') |
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 |
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The order of segment detrending:
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DROP WINDOW SAMPLES | 1 |
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Drop the recommended (by the window) number of samples of the final computed spectral series. |
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:
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MASK | [] | none | Mask out segments in the averaging process. The mask should be a vector of logical values, one value per segment being averaged. The plist method [psdSegments] can be used to generate a default mask for your PSD settings. If empty, all segments will be included in the average. |
KDES | 100 | none | The desired number of averages. |
JDES | 1000 | none | The desired number of spectral frequencies to compute. |
LMIN | 0 | none | The minimum segment length. |
Example |
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plist('WIN', 'Hanning', 'PSLL', [200], 'OLAP', [-1], 'ORDER', [0], 'DROP WINDOW SAMPLES', [true], 'TIMES', [[]], 'MASK', [[]], 'KDES', [100], 'JDES', [1000], 'LMIN', [0]) |
Some information of the method matrix/lcohere are listed below: | |
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Class name | matrix |
Method name | lcohere |
Category | Signal Processing |
Package name | ltpda |
Can be used as modifier | 0 |
Supported numeric types | {'double'} |
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Method: matrix/interpmissing | Method: matrix/lcpsd | ![]() |
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