| NVIDIA Performance Primitives (NPP)
    Version 9.1
    | 
Functions that provide global signal statistics like: sum, mean, standard deviation, min, max, etc. More...
| Modules | |
| MinEvery And MaxEvery Functions | |
| Performs the min or max operation on the samples of a signal. | |
| Sum | |
| signal_min_every_or_max_every | |
| Maximum | |
| Minimum | |
| Mean | |
| Standard Deviation | |
| Mean And Standard Deviation | |
| Minimum_Maximum | |
| Infinity Norm | |
| L1 Norm | |
| L2 Norm | |
| Infinity Norm Diff | |
| L1 Norm Diff | |
| L2 Norm Diff | |
| Dot Product | |
| Count In Range | |
| Count Zero Crossings | |
| MaximumError | |
| Primitives for computing the maximum error between two signals. | |
| AverageError | |
| Primitives for computing the Average error between two signals. | |
| MaximumRelativeError | |
| Primitives for computing the MaximumRelative error between two signals. | |
| AverageRelativeError | |
| Primitives for computing the AverageRelative error between two signals. | |
Functions that provide global signal statistics like: sum, mean, standard deviation, min, max, etc.