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changed input type for fft samples 

git-svn-id: https://svn.d4science.research-infrastructures.eu/gcube/trunk/data-analysis/EcologicalEngine@114525 82a268e6-3cf1-43bd-a215-b396298e98cf
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Gianpaolo Coro 2015-04-29 09:13:20 +00:00
parent cceaa1532c
commit d7b0a45edf
1 changed files with 1 additions and 1 deletions
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src/main/java/org/gcube/dataanalysis/ecoengine/transducers/TimeSeriesAnalysis.java
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@ -292,7 +292,7 @@ public class TimeSeriesAnalysis extends StandardLocalExternalAlgorithm {
ColumnType p1 = new ColumnType(timeSeriesTable, valuesColumn, "The column containing the values of the time series", "values", false);
inputs.add(p1);
// addDoubleInput(fftwindowsamples, "The number of samples precision in detecting the period. The lower this number the less the number of points in the Spectrogram (higher number of samples used at each step). Reducing this, the spectrogram will be finer and sharper, but you should tune it. Too many samples will make the Spectrogram noisy.", "1");
addDoubleInput(fftwindowsamples, "The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.", "12");
addIntegerInput(fftwindowsamples, "The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples.", "12");
addEnumerateInput(AggregationFunctions.values(), aggregationFunction, "Function to apply to samples with the same time instant", AggregationFunctions.SUM.name());
addEnumerateInput(Sensitivity.values(), sensitivityParam, "Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones.", Sensitivity.LOW.name());
addIntegerInput(SSAAnalysisWindowSamples, "The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend", "20");