Documentation

Generate constant value

Generate discrete impulse

Generate matrix with ones on main diagonal and zeros elsewhere

Generate real or complex sinusoidal signals

Generate real or complex sinusoidal signals—optimized for HDL code generation

Import signal from MATLAB workspace

Generate continuous or discrete sine wave

Display vectors or arrays

Show value of input

Display matrices as color images

Display frequency spectrum of time-domain signals

Display time-domain signals

Write data to MATLAB workspace

Write input sample to MATLAB workspace when triggered

View vectors of data over time

Compute output, error, and weights using LMS adaptive algorithm

Compensate for CIC filter using FIR decimator

Compensate for CIC filter using FIR interpolator

Direct form FIR full band differentiator filter

Decimate signal using polyphase FIR halfband filter

Interpolate signal using polyphase FIR half band filter

Design FIR or IIR highpass filter

Design FIR or IIR lowpass filter

Model allpole filters

Model biquadratic IIR (SOS) filters

Model FIR filters

Model Infinite Impulse Response (IIR) filters

Construct filter realizations using digital filter blocks or Sum, Gain, and Delay blocks

Decimate signal using Cascaded Integrator-Comb filter

Interpolate signal using Cascaded Integrator-Comb filter

Filter and downsample input signals

Upsample and filter input signals

Upsample, filter, and downsample input signals

Upsample, filter, and downsample input signals—optimized for HDL code generation

Decompose signal into high-frequency and low-frequency subbands

Reconstruct signal from high-frequency and low-frequency subbands

Solve linear system of equations using Levinson-Durbin recursion

Discrete cosine transform (DCT) of input

Fast Fourier transform (FFT) of input

Fast Fourier transform—optimized for HDL code generation

Inverse discrete cosine transform (IDCT) of input

Inverse fast Fourier transform (IFFT) of input

Inverse fast Fourier transform—optimized for HDL code generation

Compute nonparametric estimate of spectrum using periodogram method

Nonparametric estimate of spectrum using short-time, fast Fourier transform (FFT) method

Autocorrelation of vector or matrix input

Cross-correlation of two inputs

Generate histogram of input or sequence of inputs

Find maximum values in input or sequence of inputs

Find mean value of input or sequence of inputs

Find median value of input

Find minimum values in input or sequence of inputs

Sort input elements by value

Compute variance of input or sequence of inputs

Convert each index value into quantized output value

Encode each input value by associating it with index value of quantization region

Find vector quantizer codeword that corresponds to given, zero-based index value

For given input, find index of nearest codeword based on Euclidean or weighted Euclidean distance measure

Generate ramp signal with length based on input dimensions

Convolution of two inputs

lock DC component

Translate digital signal from Intermediate Frequency (IF) band to baseband and decimate it

Interpolate digital signal and translate it from baseband to Intermediate Frequency (IF) band

Resample input at lower rate by deleting samples

Polynomial sample-rate converter with arbitrary conversion factor

Generate real or complex sinusoidal signals

Generate real or complex sinusoidal signals—optimized for HDL code generation

Truncate vectors by removing or keeping beginning or ending values

Pad or truncate specified dimension(s)

Determine whether each value of input signal is local minimum or maximum

Resample input at higher rate by repeating values

Sample and hold input signal

Import signal samples from MATLAB workspace when triggered

Resample input at higher rate by inserting zeros

Delay input by time-varying fractional number of sample periods

Delay input by time-varying integer number of sample periods

Compute and/or apply window to input signal

Count number of times signal crosses zero in single time step

Compute magnitude and/or phase angle of complex signal—optimized for HDL code generation using the CORDIC algorithm

Cumulative product of channel, column, or row elements

Cumulative sum of channel, column, or row elements

Compute element-to-element difference along specified dimension of input

Perform vector normalization along rows, columns, or specified dimension

Apply decibel gain

Add vector to array along specified dimension

Divide array by vector along specified dimension

Multiply array by vector along specified dimension

Subtract vector from array along specified dimension

Create square diagonal matrix from diagonal elements

Extract main diagonal of input matrix

Extract lower or upper triangle from input matrices

Generate matrix with ones on main diagonal and zeros elsewhere

Concatenate input signals of same data type to create contiguous output signal

Multiply matrix elements along rows, columns, or entire input

Compute square of input matrix

Sum matrix elements along rows, columns, or entire input

Compute 1-norm of matrix

Multiply or divide inputs

Overwrite submatrix or subdiagonal of input

Reorder matrix rows or columns

Select subset of elements (submatrix) from matrix input

Generate matrix with Toeplitz symmetry

Factor square Hermitian positive definite matrices into lower, upper, and diagonal components

Factor square matrix into lower and upper triangular components

Solve UX=B for X when U is upper triangular matrix

Solve LX=B for X when L is lower triangular matrix

Solve linear system of equations using Levinson-Durbin recursion

Detect transition from zero to nonzero value

Detect threshold crossing of accumulated nonzero inputs

Switch between two inputs after specified number of sample periods

Buffer input sequence to smaller or larger frame size

Rebuffer sequence of inputs

Store inputs in FIFO register

Store inputs into LIFO register

Unbuffer input frame into sequence of scalar outputs

Flip input vertically or horizontally

Distribute arbitrary subsets of input rows or columns to multiple output ports

Overwrite submatrix or subdiagonal of input

Select input elements from vector, matrix, or multidimensional signal

Select subset of elements (submatrix) from matrix input

Select subset of rows or columns from input

Error when input signal does or does not match selected attributes exactly

Reshape 1-D or 2-D input to 2-D matrix with specified dimensions

Convert 2-D matrix input to 1-D vector

Convert input signal to specified data type

Specify sampling mode of output signal

Change complexity of input to match reference signal