Modules
Here is a list of all modules:

NPP Core | Basic functions for library management, in particular library version and device property query functions
NPP Type Definitions and Constants |
Basic NPP Data Types |
NPP Image Processing |
Arithmetic and Logical Operations | These functions can be found in the nppial library
Arithmetic Operations |
AddC | Adds a constant value to each pixel of an image
MulC | Multiplies each pixel of an image by a constant value
MulCScale | Multiplies each pixel of an image by a constant value then scales the result by the maximum value for the data bit width
SubC | Subtracts a constant value from each pixel of an image
DivC | Divides each pixel of an image by a constant value
AbsDiffC | Determines absolute difference between each pixel of an image and a constant value
Add | Pixel by pixel addition of two images
AddSquare | Pixel by pixel addition of squared pixels from source image to floating point pixel values of destination image
AddProduct | Pixel by pixel addition of product of pixels from two source images to floating point pixel values of destination image
AddWeighted | Pixel by pixel addition of alpha weighted pixel values from a source image to floating point pixel values of destination image
Mul | Pixel by pixel multiply of two images
MulScale | Pixel by pixel multiplies each pixel of two images then scales the result by the maximum value for the data bit width
Sub | Pixel by pixel subtraction of two images
Div | Pixel by pixel division of two images
Div_Round | Pixel by pixel division of two images using result rounding modes
Abs | Absolute value of each pixel value in an image
AbsDiff | Pixel by pixel absolute difference between two images
Sqr | Square each pixel in an image
Sqrt | Pixel by pixel square root of each pixel in an image
Ln | Pixel by pixel natural logarithm of each pixel in an image
Exp | Exponential value of each pixel in an image
Logical Operations |
AndC | Pixel by pixel logical and of an image with a constant
OrC | Pixel by pixel logical or of an image with a constant
XorC | Pixel by pixel logical exclusive or of an image with a constant
RShiftC | Pixel by pixel right shift of an image by a constant value
LShiftC | Pixel by pixel left shift of an image by a constant value
And | Pixel by pixel logical and of images
Or | Pixel by pixel logical or of images
Xor | Pixel by pixel logical exclusive or of images
Not | Pixel by pixel logical not of image
Alpha Composition |
AlphaCompC | Composite two images using constant alpha values
AlphaPremulC | Premultiplies pixels of an image using a constant alpha value
AlphaComp | Composite two images using alpha opacity values contained in each image
AlphaPremul | Premultiplies image pixels by image alpha opacity values
Color and Sampling Conversion | Routines manipulating an image's color model and sampling format
Color Model Conversion | Routines for converting between various image color models
RGBToYUV | RGB to YUV color conversion
BGRToYUV | BGR to YUV color conversion
YUVToRGB | YUV to RGB color conversion
YUVToBGR | YUV to BGR color conversion
RGBToYUV422 | RGB to YUV422 color conversion
YUV422ToRGB | YUV422 to RGB color conversion
RGBToYUV420 | RGB to YUV420 color conversion
YUV420ToRGB | YUV420 to RGB color conversion
NV12ToRGB | NV12 to RGB color conversion
NV21ToRGB | NV21 to RGB color conversion
BGRToYUV420 | BGR to YUV420 color conversion
YUV420ToBGR | YUV420 to BGR color conversion
NV12ToBGR | NV12 to BGR color conversion
NV21ToBGR | NV21 to BGR color conversion
RGBToYCbCr | RGB to YCbCr color conversion
YCbCrToRGB | YCbCr to RGB color conversion
YCbCrToBGR | YCbCr to BGR color conversion
YCbCrToBGR_709CSC | YCbCr to BGR_709CSC color conversion
RGBToYCbCr422 | RGB to YCbCr422 color conversion
YCbCr422ToRGB | YCbCr422 to RGB color conversion
RGBToYCrCb422 | RGB to YCrCb422 color conversion
YCrCb422ToRGB | YCrCb422 to RGB color conversion
BGRToYCbCr422 | BGR to YCbCr422 color conversion
YCbCr422ToBGR | YCbCr422 to BGR color conversion
RGBToCbYCr422 | RGB to CbYCr422 color conversion
CbYCr422ToRGB | CbYCr422 to RGB color conversion
BGRToCbYCr422 | BGR to CbYCr422 color conversion
BGRToCbYCr422_709HDTV | BGR to CbYCr422_709HDTV color conversion
CbYCr422ToBGR | CbYCr422 to BGR color conversion
CbYCr422ToBGR_709HDTV | CbYCr422 to BGR_709HDTV color conversion
RGBToYCbCr420 | RGB to YCbCr420 color conversion
YCbCr420ToRGB | YCbCr420 to RGB color conversion
RGBToYCrCb420 | RGB to YCrCb420 color conversion
YCrCb420ToRGB | YCrCb420 to RGB color conversion
BGRToYCbCr420 | BGR to YCbCr420 color conversion
BGRToYCbCr420_709CSC | BGR to YCbCr420_709CSC color conversion
BGRToYCbCr420_709HDTV | BGR to YCbCr420_709HDTV color conversion
BGRToYCrCb420_709CSC | BGR to YCrCb420_709CSC color conversion
YCbCr420ToBGR | YCbCr420 to BGR color conversion
YCbCr420ToBGR_709CSC | YCbCr420_709CSC to BGR color conversion
YCbCr420ToBGR_709HDTV | YCbCr420_709HDTV to BGR color conversion
BGRToYCrCb420 | BGR to YCrCb420 color conversion
BGRToYCbCr411 | BGR to YCbCr411 color conversion
RGBToYCbCr411 | RGB to YCbCr411 color conversion
BGRToYCbCr | BGR to YCbCr color conversion
YCbCr411ToBGR | YCbCr411 to BGR color conversion
YCbCr411ToRGB | YCbCr411 to RGB color conversion
RGBToXYZ | RGB to XYZ color conversion
XYZToRGB | XYZ to RGB color conversion
RGBToLUV | RGB to LUV color conversion
LUVToRGB | LUV to RGB color conversion
BGRToLab | BGR to Lab color conversion
LabToBGR | Lab to BGR color conversion
RGBToYCC | RGB to PhotoYCC color conversion
YCCToRGB | PhotoYCC to RGB color conversion
RGBToHLS | RGB to HLS color conversion
HLSToRGB | HLS to RGB color conversion
BGRToHLS | BGR to HLS color conversion
HLSToBGR | HLS to BGR color conversion
RGBToHSV | RGB to HSV color conversion
HSVToRGB | HSV to RGB color conversion
JPEG Color Conversion |
ColorToGray Conversion | Routines for converting color images to grayscale
ColorDebayer | Grayscale Color Filter Array to RGB Color Debayer conversion
Color Sampling Format Conversion | Routines for converting between various image color sampling formats
Color Gamma Correction | Routines for correcting image color gamma
Complement Color Key | Routines for performing complement color key replacement
Color Processing | Routines for performing image color manipulation
ColorTwist | Routines for converting between various image color models using user supplied matrix coefficients
ColorTwistBatch | Routines for converting between various image color models using user supplied matrix coefficients on batches of images
ColorLUT | Perform image color processing using members of various types of color look up tables
ColorLUTLinear | Perform image color processing using linear interpolation between members of various types of color look up tables
ColorLUTCubic | Perform image color processing using linear interpolation between members of various types of color look up tables
ColorLUTTrilinear | Perform image color processing using 3D trilinear interpolation between members of various types of color look up tables
ColorLUTPalette | Perform image color processing using various types of bit range restricted palette color look up tables
Compression | Image compression primitives
Quantization Functions |
Data Exchange and Initialization | Functions for initializting, copying and converting image data
Image Set Operations | Functions for setting all pixels within the ROI to a specific value
Set | Functions for setting all pixels within the ROI to a specific value
Masked Set | The masked set primitives have an additional "mask image" input
Channel Set | The selected-channel set primitives set a single color channel in multi-channel images to a given value
Image Copy Operations | Functions for copying image pixels
Copy | Copy pixels from one image to another
Masked Copy | The masked copy primitives have an additional "mask image" input
Channel Copy | The channel copy primitives copy a single color channel from a multi-channel source image to any other color channel in a multi-channel destination image
Extract Channel Copy | The channel extract primitives copy a single color channel from a multi-channel source image to singl-channel destination image
Insert Channel Copy | The channel insert primitives copy a single-channel source image into one of the color channels in a multi-channel destination image
Packed To Planar Channel Copy | Split a packed multi-channel image into multiple single channel planes
Planar To Packed Channel Copy | Combine multiple image planes into a packed multi-channel image
Copy Constant Border | Methods for copying images and padding borders with a constant, user-specifiable color
Copy Replicate Border | Methods for copying images and padding borders with a replicates of the nearest source image pixel color
Copy Wrap Border | Methods for copying images and padding borders with wrapped replications of the source image pixel colors
Copy Sub-Pixel | Functions for copying linearly interpolated images using source image subpixel coordinates
Convert Bit Depth | Functions for converting bit depth without scaling
Convert To Increased Bit Depth | The integer conversion methods do not involve any scaling
Convert To Decreased Bit Depth | The integer conversion methods do not involve any scaling
Scale Bit Depth | Functions for scaling bit depth up or down
Scale To Higher Bit Depth | Functions for scaling images to higher bit depth
Scale To Lower Bit Depth | Functions for scaling images to lower bit depth
Duplicate Channel | Functions for duplicating a single channel image in a multiple channel image
Transpose | Functions for transposing images of various types
Swap Channels | Functions for swapping and duplicating channels in multiple channel images
Filtering Functions | Linear and non-linear image filtering functions
1D Linear Filter |
FilterColumn | Apply convolution filter with user specified 1D column of weights
FilterColumnBorder | General purpose 1D convolution column filter with border control
FilterColumn32f | FilterColumn using floating-point weights
FilterColumnBorder32f | General purpose 1D column convolution filter using floating-point weights with border control
FilterRow | Apply convolution filter with user specified 1D row of weights
FilterRowBorder | General purpose 1D convolution row filter with border control
FilterRow32f | FilterRow using floating-point weights
FilterRowBorder32f | General purpose 1D row convolution filter using floating-point weights with border control
1D Window Sum |
1D Window Column Sum | 1D mask Window Column Sum for 8 and 16 bit images
1D Window Row Sum | 1D mask Window Row Sum for 8 and 16 bit images
1D Window Sum with Border Control |
1D Window Column Sum Border | 1D mask Window Column Sum for 8 and 16 bit images with border control
1D Window Row Sum Border | 1D mask Window Row Sum for 8 and 16 bit images with border control
Convolution |
Filter | General purpose 2D convolution filter
Filter32f | General purpose 2D convolution filter using floating point weights
FilterBorder | General purpose 2D convolution filter with border control
FilterBorder32f | General purpose 2D convolution filter using floating-point weights with border control
2D Fixed Linear Filters |
FilterBox | Computes the average pixel values of the pixels under a rectangular mask
FilterBoxBorder | Computes the average pixel values of the pixels under a rectangular mask with border control
FilterThresholdAdaptiveBoxBorder | Computes the average pixel values of the pixels under a square mask with border control
Rank Filters |
FilterMax | Result pixel value is the maximum of pixel values under the rectangular mask region
FilterMaxBorder | Result pixel value is the maximum of pixel values under the rectangular mask region with border control
FilterMin | Result pixel value is the minimum of pixel values under the rectangular mask region
FilterMinBorder | Result pixel value is the minimum of pixel values under the rectangular mask region with border control
FilterMedian | Result pixel value is the median of pixel values under the rectangular mask region
Fixed Filters | Fixed filters perform linear filtering operations (such as convolutions) with predefined kernels of fixed sizes
FilterPrewitt | Filters the image using a Prewitt filter kernel
FilterPrewittBorder | Filters the image using a Prewitt filter kernel with border control
FilterScharr | Filters the image using a Scharr filter kernel
FilterScharrBorder | Filters the image using a Scharr filter kernel with border control
FilterSobel | Filters the image using a Sobel filter kernel
FilterSobelBorder | Filters the image using a Sobel filter kernel with border control
FilterRoberts | Filters the image using a Roberts filter kernel
FilterRobertsBorder | Filters the image using a Roberts filter kernel with border control
FilterLaplace | Filters the image using a Laplacian filter kernel
FilterLaplaceBorder | Filters the image using a Laplacian filter kernel with border control
FilterGauss | Filters the image using a Gaussian filter kernel
FilterGaussAdvanced | Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients:
FilterGaussBorder | Filters the image using a Gaussian filter kernel with border control
FilterGaussAdvancedBorder | Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients with border control
FilterGaussPyramidLayerDownBorder | Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients with downsampling and border control
FilterGaussPyramidLayerUpBorder | Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients with upsampling and border control
FilterBilateralGaussBorder | Filters the image using a bilateral Gaussian filter kernel with border control
FilterHighPass | Filters the image using a high-pass filter kernel
FilterHighPassBorder | Filters the image using a high-pass filter kernel with border control
FilterLowPass | Filters the image using a low-pass filter kernel
FilterLowPassBorder | Filters the image using a low-pass filter kernel with border control
FilterSharpen | Filters the image using a sharpening filter kernel:
FilterSharpenBorder | Filters the image using a sharpening filter kernel with border control
FilterUnsharpBorder | Filters the image using a unsharp-mask sharpening filter kernel with border control
FilterWienerBorder | Noise removal filtering of an image using an adaptive Wiener filter with border control
GradientVectorPrewittBorder | RGB Color to Prewitt Gradient Vector conversion using user selected fixed mask size and gradient distance method
GradientVectorScharrBorder | RGB Color to Scharr Gradient Vector conversion using user selected fixed mask size and gradient distance method
GradientVectorSobelBorder | RGB Color to Sobel Gradient Vector conversion using user selected fixed mask size and gradient distance method
Computer Vision |
FilterCannyBorder | Performs Canny edge detection on a single channel 8-bit grayscale image and outputs a single channel 8-bit image consisting of 0x00 and 0xFF values with 0xFF representing edge pixels
FilterHarrisCornersBorder | Performs Harris Corner detection on a single channel 8-bit grayscale image and outputs a single channel 32-bit floating point image consisting the corner response at each pixel of the image
FilterHoughLine | Extracts Hough lines from a single channel 8-bit binarized (0, 255) source feature (canny edges, etc.) image
HistogramOfOrientedGradientsBorder | Performs Histogram Of Oriented Gradients operation on source image generating separate windows of Histogram Descriptors for each requested location
LabelMarkers | Generate image connected region label markers to be used for later image segmentation
CompressMarkerLabels | Removes sparseness between marker label IDs output from LabelMarkers call
BoundSegments | Adds boundary borders around connected regions using a border value of nBorderVal
Geometry Transforms | Routines manipulating an image geometry
ResizeSqrPixel | ResizeSqrPixel supports the following interpolation modes:
Resize | This simplified function replaces the previous version which was deprecated in an earlier release
ResizeBatch | In this function as in nppiResize the resize scale factor is automatically determined by the width and height ratios of oSrcRectROI and oDstRectROI
Remap | Remap supports the following interpolation modes:
Rotate | Rotates an image around the origin (0,0) and then shifts it
Rotate Utility Functions |
Rotate |
Mirror | Mirrors images horizontally, vertically or diagonally
MirrorBatch | Mirrors batches of images horizontally, vertically or diagonally
Affine Transforms |
Affine Transform Utility Functions |
Affine Transform | Transforms (warps) an image based on an affine transform
Affine Transform Batch | Details of the warp affine operation are described above in the WarpAffine section
Backwards Affine Transform | Transforms (warps) an image based on an affine transform
Quad-Based Affine Transform | Transforms (warps) an image based on an affine transform
Perspective Transform |
Perspective Transform Utility Functions |
Perspective Transform | Transforms (warps) an image based on a perspective transform
Perspective Transform Batch | Details of the warp perspective operation are described above in the WarpPerspective section
Backwards Perspective Transform | Transforms (warps) an image based on a perspective transform
Quad-Based Perspective Transform | Transforms (warps) an image based on an perspective transform
Linear Transforms | Linear image transformations
Fourier Transforms |
Morphological Operations | Morphological image operations
Dilation | Dilation computes the output pixel as the maximum pixel value of the pixels under the mask
Dilation with border control | Dilation computes the output pixel as the maximum pixel value of the pixels under the mask
Dilate3x3 | Dilation using a 3x3 mask with the anchor at its center pixel
Dilate3x3Border | Dilation using a 3x3 mask with the anchor at its center pixel with border control
Erode | Erosion computes the output pixel as the minimum pixel value of the pixels under the mask
Erosion with border control | Erosion computes the output pixel as the minimum pixel value of the pixels under the mask
Erode3x3 | Erosion using a 3x3 mask with the anchor at its center pixel
Erode3x3Border | Erosion using a 3x3 mask with the anchor at its center pixel with border control
ComplexImageMorphology | Complex image morphological operations
MorphGetBufferSize | Before calling any of the MorphCloseBorder, MorphOpenBorder, MorphTopHatBorder, MorphBlackHatBorder, or MorphGradientBorder functions the application first needs to call the corresponding MorphGetBufferSize to determine the amount of device memory to allocate as a working buffer
MorphCloseBorder | Dilation followed by Erosion with border control
MorphOpenBorder | Erosion followed by Dilation with border control
MorphToHatBorder | Source pixel minus the morphological open pixel result with border control
MorphBlackHatBorder | Morphological close pixel result minus source pixel with border control
MorphGradientBorder | Morphological dilated pixel result minus morphological eroded pixel result with border control
Statistical Operations | Primitives for computing the statistical properties of an image
Sum | Primitives for computing the sum of all the pixel values in an image
Min | Primitives for computing the minimal pixel value of an image
MinIndx | Primitives for computing the minimal value and its indices (X and Y coordinates) of an image
Max | Primitives for computing the maximal pixel value of an image
MaxIndx | Primitives for computing the maximal value and its indices (X and Y coordinates) of an image
MinMax | Primitives for computing both the minimal and the maximal values of an image
MinMaxIndx | Primitives for computing the minimal and the maximal values with their indices (X and Y coordinates) of an image
Mean | Primitives for computing the arithmetic mean of all the pixel values in an image
Mean_StdDev | Primitives for computing both the arithmetic mean and the standard deviation of an image
Image Norms | Primitives for computing the norms of an image, the norms of difference, and the relative errors of two images
Norm_Inf | Primitives for computing the infinity norm of an image
Norm_L1 | Primitives for computing the L1 norm of an image
Norm_L2 | Primitives for computing the L2 norm of an image
NormDiff_Inf | Primitives for computing the infinity norm of difference of pixels between two images
NormDiff_L1 | Primitives for computing the L1 norm of difference of pixels between two images
NormDiff_L2 | Primitives for computing the L2 norm of difference of pixels between two images
NormRel_Inf | Primitives for computing the relative error of infinity norm between two images
NormRel_L1 | Primitives for computing the relative error of L1 norm between two images
NormRel_L2 | Primitives for computing the relative error of L2 norm between two images
DotProd | Primitives for computing the dot product of two images
CountInRange. | Primitives for computing the amount of pixels that fall into the specified intensity range
MaxEvery | Primitives for computing the maximal value of the pixel pair from two images
MinEvery | Primitives for computing the minimal value of the pixel pair from two images
Integral | Primitives for computing the integral image of a given image
SqrIntegral | Primitives for computing both the integral and the squared integral images of a given image
RectStdDev | Primitives for computing the stansdard deviation of the integral images
HistogramEven | Primitives for computing the histogram of an image with evenly distributed bins
HistogramRange | Primitives for computing the histogram of an image within specified ranges
Image Proximity | Primitives for computing the proximity measure between a source image and a template image
SqrDistanceFull_Norm | Primitives for computing the normalized Euclidean distance between two images with full mode
SqrDistanceSame_Norm | Primitives for computing the normalized Euclidean distance between two images with same mode
SqrDistanceValid_Norm | Primitives for computing the normalized Euclidean distance between two images with valid mode
CrossCorrFull_Norm | Primitives for computing the normalized cross correlation between two images with full mode
CrossCorrSame_Norm | Primitives for computing the normalized cross correlation between two images with same mode
CrossCorrValid_Norm | Primitives for computing the normalized cross correlation between two images with valid mode
CrossCorrValid | Primitives for computing the cross correlation between two images with valid mode
CrossCorrFull_NormLevel | Primitives for computing the normalized cross correlation coefficient between two images with full mode
CrossCorrSame_NormLevel | Primitives for computing the normalized cross correlation coefficient between two images with same mode
CrossCorrValid_NormLevel | Primitives for computing the normalized cross correlation coefficient between two images with valid mode
Image Quality Index | Primitives for computing the image quality index of two images
MaximumError | Primitives for computing the maximum error between two images
AverageError | Primitives for computing the average error between two images
MaximumRelativeError | Primitives for computing the maximum relative error between two images
AverageRelativeError | Primitives for computing the average relative error between two images
IQA | Primitives for computing the image quality between two images, such as MSE, PSNR, SSIM, and MS-SSIM
Memory Management | Routines for allocating and deallocating pitched image storage
Threshold and Compare Operations | Methods for pixel-wise threshold and compare operations
Thresholding Operations | Various types of image thresholding operations
Threshold Operations | Threshold image pixels
Threshold Greater Than Operations | Threshold greater than image pixels
Threshold Less Than Operations | Threshold less than image pixels
Threshold Value Operations | Replace thresholded image pixels with a value
Threshold Greater Than Value Operations | Replace image pixels greater than threshold with a value
Threshold Less Than Value Operations | Replace image pixels less than threshold with a value
Threshold Less Than Value Or Greater Than Value Operations | Replace image pixels less than thresholdLT or greater than thresholdGT with with valueLT or valueGT respectively
Comparison Operations | Compare the pixels of two images or one image and a constant value and create a binary result image
Compare Images Operations | Compare the pixels of two images and create a binary result image
Compare Image With Constant Operations | Compare the pixels of an image with a constant value and create a binary result image
Compare Image Differences With Epsilon Operations | Compare the pixels value differences of two images with an epsilon value and create a binary result image
Compare Image Difference With Constant Within Epsilon Operations | Compare differences between image pixels and constant within an epsilon value and create a binary result image
NPP Signal Processing |
Arithmetic and Logical Operations |
Arithmetic Operations |
AddC | Adds a constant value to each sample of a signal
AddProductC | Adds product of a constant and each sample of a source signal to the each sample of destination signal
MulC | Multiplies each sample of a signal by a constant value
SubC | Subtracts a constant from each sample of a signal
SubCRev | Subtracts each sample of a signal from a constant
DivC | Divides each sample of a signal by a constant
DivCRev | Divides a constant by each sample of a signal
Add | Sample by sample addition of two signals
AddProduct | Adds sample by sample product of two signals to the destination signal
Mul | Sample by sample multiplication the samples of two signals
Sub | Sample by sample subtraction of the samples of two signals
Div | Sample by sample division of the samples of two signals
Div_Round | Sample by sample division of the samples of two signals with rounding
Abs | Absolute value of each sample of a signal
Sqr | Squares each sample of a signal
Sqrt | Square root of each sample of a signal
Cubrt | Cube root of each sample of a signal
Exp | E raised to the power of each sample of a signal
Ln | Natural logarithm of each sample of a signal
10Log10 | Ten times the decimal logarithm of each sample of a signal
SumLn | Sums up the natural logarithm of each sample of a signal
Arctan | Inverse tangent of each sample of a signal
Normalize | Normalize each sample of a real or complex signal using offset and division operations
Cauchy, CauchyD, and CauchyDD2 | Determine Cauchy robust error function and its first and second derivatives for each sample of a signal
Logical And Shift Operations |
AndC | Bitwise AND of a constant and each sample of a signal
And | Sample by sample bitwise AND of samples from two signals
OrC | Bitwise OR of a constant and each sample of a signal
Or | Sample by sample bitwise OR of the samples from two signals
XorC | Bitwise XOR of a constant and each sample of a signal
Xor | Sample by sample bitwise XOR of the samples from two signals
Not | Bitwise NOT of each sample of a signal
LShiftC | Left shifts the bits of each sample of a signal by a constant amount
RShiftC | Right shifts the bits of each sample of a signal by a constant amount
Conversion Functions |
Convert |
Threshold |
Filtering Functions | Functions that provide functionality of generating output signal based on the input signal like signal integral, etc
Integral | Compute the indefinite interal of a given signal
Initialization |
Set |
Zero |
Copy |
Statistical Functions | Functions that provide global signal statistics like: sum, mean, standard deviation, min, max, etc
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
Memory Management |
Malloc | Signal-allocator methods for allocating 1D arrays of data in device memory
Free | Free signal memory

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