Widgets
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Corpus
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Import Documents
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Create Corpus
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The Guardian
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Twitter
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LDAvis
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Corpus Viewer
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Ontology
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Semantic Viewer
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Collocations
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Statistics
SNR
Signal-to-Noise Ratio (SNR)
Inputs
- Data: input dataset
Outputs
- Signal-to-noise ratio: signal-to-noise ratio dataset
- *SNR = \(\frac{\overline{Spectra_{x, y}}}{\sigma _{x, y}}\)*
- Averages: averaged dataset
- *Averages = \(\overline{Spectra_{x, y}}\)*
- Standard Deviation: standard deviation dataset
- Standard Deviation = \(\sigma _{x, y}\)
The SNR widget computes the SNR, average, or standard deviation of spectra. It can output the results of an entire dataset or by coordinates (x, y).
Use Select axis: x to select an axis that will act as the first element for your coordinate system defined by a numeric meta.
Use Select axis: y to select an axis that will act as the second element for your coordinate system defined by a numeric meta.
In the example above, the result will be:
output = Signal-to-noise ratio(column, row)
*SNR = \(\frac{\overline{Spectra_{column, row}}}{\sigma _{column, row}}\)*
If you want to select only one axis:
output = Average(x)
*Average = \(\overline{Spectra_{column}}\)*
or
output = Standard Deviation(x)
Standard Deviation = \(\sigma _{column}\)
If you want the result of the complete data set, you can just leave both as None.