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 selectedchannel set primitives set a single color channel in multichannel 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 multichannel source image to any other color channel in a multichannel destination image 
Extract Channel Copy

The channel extract primitives copy a single color channel from a multichannel source image to singlchannel destination image 
Insert Channel Copy

The channel insert primitives copy a singlechannel source image into one of the color channels in a multichannel destination image 
Packed To Planar Channel Copy

Split a packed multichannel image into multiple single channel planes 
Planar To Packed Channel Copy

Combine multiple image planes into a packed multichannel image 
Copy Constant Border

Methods for copying images and padding borders with a constant, userspecifiable 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 SubPixel

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 nonlinear 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 floatingpoint weights 
FilterColumnBorder32f

General purpose 1D column convolution filter using floatingpoint 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 floatingpoint weights 
FilterRowBorder32f

General purpose 1D row convolution filter using floatingpoint 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 floatingpoint 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 highpass filter kernel 
FilterHighPassBorder

Filters the image using a highpass filter kernel with border control 
FilterLowPass

Filters the image using a lowpass filter kernel 
FilterLowPassBorder

Filters the image using a lowpass 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 unsharpmask 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 8bit grayscale image and outputs a single channel 8bit image consisting of 0x00 and 0xFF values with 0xFF representing edge pixels 
FilterHarrisCornersBorder

Performs Harris Corner detection on a single channel 8bit grayscale image and outputs a single channel 32bit floating point image consisting the corner response at each pixel of the image 
FilterHoughLine

Extracts Hough lines from a single channel 8bit 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 
QuadBased 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 
QuadBased 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 MSSSIM 
Memory Management

Routines for allocating and deallocating pitched image storage 
Threshold and Compare Operations

Methods for pixelwise 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

Signalallocator methods for allocating 1D arrays of data in device memory 
Free

Free signal memory 