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Edge AI Add-on API 2.2.0
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Topics | |
| Absolute Maximum | |
| Absolute Mean | |
| Absolute Minimum | |
| Absolute Sum | |
| Autocorrelation | |
| Average Magnitude Difference | |
| Crest Factor (Peak to RMS) | |
| Hjorth Parameters | |
| Kurtosis | |
| Linear Regression Parameters | |
| Maximum | |
| Mean | |
| Mean Absolute Deviation | |
| Mean Absolute Difference | |
| Mean-crossing Rate | |
| Minimum | |
| Minimum and Maximum | |
| Peak to Peak | |
| Percentage of signal over Mean | |
| Percentage of signal over Sigma | |
| Percentage of signal over threshold | |
| Percentage of signal over zero | |
| Range | |
| Root Difference Square | |
| Root Difference Square is also used as an estimate for a time series complexity (A more complex time series has more peaks, valleys etc.). | |
| Root Mean Square | |
| Root Sum of Squares | |
| Sigma-crossing Rate | |
| Skewness | |
| Standard deviation | |
| Statistical Moments | |
| Sum | |
| Threshold-crossing Rate | |
| Total Sum of Squares (Energy) | |
| Total Sum of Squares and Sum | |
| Variance | |
| Zero-crossing Rate | |