| Feature | Description |
|---|---|
| Crest Factor | Calculates the ratio of a signal's peak amplitude to its root mean square (RMS) value. It is particularly useful for analyzing waveforms in: • Electrical engineering • Vibration analysis • Audio processing |
| Root Difference Square | Measures the square root of the mean squared difference between neighboring discrete points. It measures mean signal variation between neighboring points and can be used as a characteristic of the rate of change of a signal. |
| Average Magnitude Difference | A signal processing technique used for periodicity analysis in sensor signals. It is particularly useful in: • Sensor-based systems where detecting periodic patterns is crucial. • Speech analysis. • Music signal processing. However, it may suffer from incorrect pitch detection in highly noisy conditions, which has led to the development of extended versions for improved performance. |
| Percentage of Signal over Mean | Calculates the ratio between the number of sensor signal values greater than the mean value in a window over the total window size. It is particularly useful in applications where relative changes in the signal are more important than absolute values, such as: • Vibration analysis • Environmental monitoring • Process control systems |
| Percentage of Signal over Zero | Calculates the ratio between the number of positive sensor signal values in a window over the total window size. In other words, it measures the fraction of time the signal was positive. |
| Percentage of Signal over Sigma | Calculates the ratio between the number of sensor signal values greater than the sigma value (mean + n standard deviations) in a window over the total window size. |
| Autocorrelation | Measures the correlation between a signal and a time-shifted version of itself, providing valuable insights into the signal's inherent patterns, periodicities, and statistical properties. |