Signal Processing Blockset™

Block Reference

Estimation

Linear Prediction	Compute or work with linear predictive representations
Parametric Estimation	Compute estimates of autoregressive model parameters
Power Spectrum Estimation	Compute parametric and nonparametric spectral estimates

Linear Prediction

Autocorrelation LPC	Determine coefficients of Nth-order forward linear predictors
Levinson-Durbin	Solve linear system of equations using Levinson-Durbin recursion
LPC to LSF/LSP Conversion	Convert linear prediction coefficients to line spectral pairs or line spectral frequencies
LPC to/from Cepstral Coefficients	Convert linear prediction coefficients to cepstral coefficients or cepstral coefficients to linear prediction coefficients
LPC to/from RC	Convert linear prediction coefficients to reflection coefficients or reflection coefficients to linear prediction coefficients
LPC/RC to Autocorrelation	Convert linear prediction coefficients or reflection coefficients to autocorrelation coefficients
LSF/LSP to LPC Conversion	Convert line spectral frequencies or line spectral pairs to linear prediction coefficients

Parametric Estimation

Burg AR Estimator	Compute estimate of autoregressive (AR) model parameters using Burg method
Covariance AR Estimator	Compute estimate of autoregressive (AR) model parameters using covariance method
Modified Covariance AR Estimator	Compute estimate of autoregressive (AR) model parameters using modified covariance method
Yule-Walker AR Estimator	Compute estimate of autoregressive (AR) model parameters using Yule-Walker method

Power Spectrum Estimation

Burg Method	Compute parametric spectral estimate using Burg method
Covariance Method	Compute parametric spectral estimate using covariance method
Magnitude FFT	Compute nonparametric estimate of spectrum using periodogram method
Modified Covariance Method	Compute parametric spectral estimate using modified covariance method
Periodogram	Compute nonparametric estimate of spectrum
Yule-Walker Method	Compute parametric estimate of tspectrum using Yule-Walker autoregressive (AR) method

Filtering

Adaptive Filters	Use adaptive filter algorithms
Filter Design Toolbox	Design and implement single- and multirate FIR and IIR filters
Filter Designs	Design and implement filters
Multirate Filters	Implement multirate filters

Adaptive Filters

Block LMS Filter	Compute filtered output, filter error, and filter weights for given input and desired signal using Block LMS adaptive filter algorithm
Fast Block LMS Filter	Compute filtered output, filter error, and filter weights for given input and desired signal using Fast Block LMS adaptive filter algorithm
Kalman Filter	Predict or estimate states of dynamic systems
LMS Filter	Compute filtered output, filter error, and filter weights for given input and desired signal using LMS adaptive filter algorithm
RLS Filter	Compute filtered output, filter error, and filter weights for given input and desired signal using RLS adaptive filter algorithm

Filter Design Toolbox

Arbitrary Magnitude Filter	Design arbitrary response filter
Bandpass Filter	Design bandpass filter
Bandstop Filter	Design bandstop filter
CIC Compensator	Design CIC compensator
CIC Filter	Design Cascaded Integrator-Comb (CIC) Filter
Differentiator Filter	Design differentiator filter
Fractional Delay Filter	Design fractional delay filter
Halfband Filter	Design halfband filter
Highpass Filter	Design highpass filter
Hilbert Filter	Design Hilbert filter
Inverse Sinc Filter	Design inverse sinc filter
Lowpass Filter	Design lowpass Filter
Nyquist Filter	Design Nyquist filter
Octave Filter	Design octave filter
Parametric Equalizer	Design parametric equalizer
Peak-Notch Filter	Design peak or notch filter

Filter Designs

Analog Filter Design	Design and implement analog filters
Digital Filter	Filter each channel of input over time using static or time-varying digital filter implementations
Digital Filter Design	Design and implement digital FIR and IIR filters
Filter Realization Wizard	Construct filter realizations using Digital Filter block or Sum, Gain, and Delay blocks
Overlap-Add FFT Filter	Implement overlap-add method of frequency-domain filtering
Overlap-Save FFT Filter	Implement overlap-save method of frequency-domain filtering

Multirate Filters

CIC Decimation	Decimate signal using Cascaded Integrator-Comb filter
CIC Interpolation	Interpolate signal using Cascaded Integrator-Comb filter
Dyadic Analysis Filter Bank	Decompose signals into subbands with smaller bandwidths and slower sample rates
Dyadic Synthesis Filter Bank	Reconstruct signals from subbands with smaller bandwidths and slower sample rates
FIR Decimation	Filter and downsample input signals
FIR Interpolation	Upsample and filter input signals
FIR Rate Conversion	Upsample, filter, and downsample input signals
Two-Channel Analysis Subband Filter	Decompose signal into high-frequency subband and low-frequency subband
Two-Channel Synthesis Subband Filter	Reconstruct signal from high-frequency subband and low-frequency subband

Math Functions

Math Operations	Use specialized math operations for signal processing applications
Matrices and Linear Algebra	Work with matrices
Polynomial Functions	Work with polynomials

Math Operations

Complex Exponential	Compute complex exponential function
Cumulative Product	Compute cumulative product of channel, column, or row elements
Cumulative Sum	Compute cumulative sum of channel, column, or row elements
dB Conversion	Convert magnitude data to decibels (dB or dBm)
dB Gain	Apply decibel gain
Difference	Compute element-to-element difference along specified dimension of input
Normalization	Perform vector normalization along rows, columns, or specified dimension

Matrices and Linear Algebra

Linear System Solvers	Solve matrix equation AX = B for X
Matrix Factorizations	Factor matrices
Matrix Inverses	Invert matrices
Matrix Operations	Perform basic matrix operations

Linear System Solvers

Backward Substitution	Solve UX=B for X when U is upper triangular matrix
Cholesky Solver	Solve SX=B for X when S is square Hermitian positive definite matrix
Forward Substitution	Solve LX=B for X when L is lower triangular matrix
LDL Solver	Solve SX=B for X when S is square Hermitian positive definite matrix
Levinson-Durbin	Solve linear system of equations using Levinson-Durbin recursion
LU Solver	Solve AX=B for X when A is square matrix
QR Solver	Find minimum-norm-residual solution to AX=B
SVD Solver	Solve AX=B using singular value decomposition

Matrix Factorizations

Cholesky Factorization	Factor square Hermitian positive definite matrix into triangular components
LDL Factorization	Factor square Hermitian positive definite matrices into lower, upper, and diagonal components
LU Factorization	Factor square matrix into lower and upper triangular components
QR Factorization	Factor rectangular matrix into unitary and upper triangular components
Singular Value Decomposition	Factor matrix using singular value decomposition

Matrix Inverses

Cholesky Inverse	Compute inverse of Hermitian positive definite matrix using Cholesky factorization
LDL Inverse	Compute inverse of Hermitian positive definite matrix using LDL factorization
LU Inverse	Compute inverse of square matrix using LU factorization
Pseudoinverse	Compute Moore-Penrose pseudoinverse of matrix

Matrix Operations

Array-Vector Add	Add vector to array along specified dimension
Array-Vector Divide	Divide array by vector along specified dimension
Array-Vector Multiply	Multiply array by vector along specified dimension
Array-Vector Subtract	Subtract vector from array along specified dimension
Constant Diagonal Matrix	Generate square, diagonal matrix
Create Diagonal Matrix	Create square diagonal matrix from diagonal elements
Extract Diagonal	Extract main diagonal of input matrix
Extract Triangular Matrix	Extract lower or upper triangle from input matrices
Identity Matrix	Generate matrix with ones on main diagonal and zeros elsewhere
Matrix 1-Norm	Compute 1-norm of matrix
Matrix Concatenate	Concatenate input signals of same data type to create contiguous output signal
Matrix Exponential	Compute matrix exponential
Matrix Multiply	Multiply or divide inputs
Matrix Product	Multiply matrix elements along rows, columns, or entire input
Matrix Square	Compute square of input matrix
Matrix Sum	Sum matrix elements along rows, columns, or entire input
Overwrite Values	Overwrite submatrix or subdiagonal of input
Permute Matrix	Reorder matrix rows or columns
Reciprocal Condition	Compute reciprocal condition of square matrix in 1-norm
Submatrix	Select subset of elements (submatrix) from matrix input
Toeplitz	Generate matrix with Toeplitz symmetry
Transpose	Compute matrix transpose

Polynomial Functions

Least Squares Polynomial Fit	Compute polynomial coefficients that best fit input data in least-squares sense
Polynomial Evaluation	Evaluate polynomial expression
Polynomial Stability Test	Use Schur-Cohn algorithm to determine whether all roots of input polynomial are inside unit circle

Quantizers

G711 Codec	Quantize narrowband speech input signals
Quantizer	Discretize input at specified interval
Scalar Quantizer Decoder	Convert each index value into quantized output value
Scalar Quantizer Design	Start Scalar Quantizer Design Tool (SQDTool) to design scalar quantizer using Lloyd algorithm
Scalar Quantizer Encoder	Encode each input value by associating it with index value of quantization region
Uniform Decoder	Decode integer input into floating-point output
Uniform Encoder	Quantize and encode floating-point input into integer output
Vector Quantizer Decoder	Find vector quantizer codeword that corresponds to given, zero-based index value
Vector Quantizer Design	Design vector quantizer using Vector Quantizer Design Tool (VQDTool)
Vector Quantizer Encoder	For given input, find index of nearest codeword based on Euclidean or weighted Euclidean distance measure

Signal Management

Buffers	Change sample rate or frame rate of signals by buffering or unbuffering
Indexing	Manipulate ordering of signals
Signal Attributes	Inspect or modify signal attributes
Switches and Counters	Perform actions when events occur

Buffers

Buffer	Buffer input sequence to smaller or larger frame size
Delay Line	Rebuffer sequence of inputs with one-sample shift
Queue	Store inputs in FIFO register
Stack	Store inputs into LIFO register
Unbuffer	Unbuffer input frame into sequence of scalar outputs

Indexing

Flip	Flip input vertically or horizontally
Multiport Selector	Distribute arbitrary subsets of input rows or columns to multiple output ports
Overwrite Values	Overwrite submatrix or subdiagonal of input
Selector	Select input elements from vector, matrix, or multidimensional signal
Submatrix	Select subset of elements (submatrix) from matrix input
Variable Selector	Select subset of rows or columns from input

Signal Attributes

Check Signal Attributes	Generate error when input signal does or does not match selected attributes exactly
Convert 1-D to 2-D	Reshape 1-D or 2-D input to 2-D matrix with specified dimensions
Convert 2-D to 1-D	Convert 2-D matrix input to 1-D vector
Data Type Conversion	Convert input signal to specified data type
Frame Conversion	Specify sampling mode of output signal
Inherit Complexity	Change complexity of input to match reference signal

Switches and Counters

Counter	Count up or down through specified range of numbers
Edge Detector	Detect transition from zero to nonzero value
Event-Count Comparator	Detect threshold crossing of accumulated nonzero inputs
Multiphase Clock	Generate multiple binary clock signals
N-Sample Enable	Output ones or zeros for specified number of sample times
N-Sample Switch	Switch between two inputs after specified number of sample periods

Signal Operations

Constant Ramp	Generate ramp signal with length based on input dimensions
Convolution	Compute convolution of two inputs
Delay	Delay discrete-time input by specified number of samples or frames
Downsample	Resample input at lower rate by deleting samples
Interpolation	Interpolate values of real input samples
NCO	Generate real or complex sinusoidal signals
Offset	Truncate vectors by removing or keeping beginning or ending values
Pad	Pad or truncate specified dimension(s)
Peak Finder	Determine whether each value of input signal is local minimum or maximum
Repeat	Resample input at higher rate by repeating values
Sample and Hold	Sample and hold input signal
Triggered Signal From Workspace	Import signal samples from MATLAB^® workspace when triggered
Unwrap	Unwrap signal phase
Upsample	Resample input at higher rate by inserting zeros
Variable Fractional Delay	Delay input by time-varying fractional number of sample periods
Variable Integer Delay	Delay input by time-varying integer number of sample periods
Window Function	Compute and/or apply window to input signal
Zero Crossing	Count number of times signal crosses zero in single time step

Signal Processing Sinks

Display	Show value of input
Matrix Viewer	Display matrices as color images
Signal To Workspace	Write simulation data to array in MATLAB^® workspace
Spectrum Scope	Compute and display periodogram of each input signal
Time Scope	Display signals generated during simulation
To Audio Device	Write audio data to computer's audio device
To Multimedia File	Write video frames and/or audio samples to multimedia file
To Wave File	Write audio data to file in Microsoft^® Wave (`.wav`) format
Triggered To Workspace	Write input sample to MATLAB^® workspace when triggered
Vector Scope	Display vector or matrix of time-domain, frequency-domain, or user-defined data
Waterfall	View vectors of data over time

Signal Processing Sources

Chirp	Generate swept-frequency cosine (chirp) signal
Constant Diagonal Matrix	Generate square, diagonal matrix
Discrete Impulse	Generate discrete impulse
DSP Constant	Generate discrete- or continuous-time constant signal
From Audio Device	Read audio data from computer's audio device
From Multimedia File	Read video frames and/or audio samples from compressed multimedia file
From Wave File	Read audio data from Microsoft^® Wave (`.wav`) file
Identity Matrix	Generate matrix with ones on main diagonal and zeros elsewhere
Multiphase Clock	Generate multiple binary clock signals
N-Sample Enable	Output ones or zeros for specified number of sample times
Random Source	Generate randomly distributed values
Signal From Workspace	Import signal from MATLAB^® workspace
Sine Wave	Generate continuous or discrete sine wave

Statistics

Autocorrelation	Compute autocorrelation of vector inputs
Correlation	Compute cross-correlation of two inputs
Detrend	Remove linear trend from vectors
Histogram	Generate histogram of input or sequence of inputs
Maximum	Find maximum values in input or sequence of inputs
Mean	Find mean value of input or sequence of inputs
Median	Find median value of input
Minimum	Find minimum values in input or sequence of inputs
RMS	Compute root-mean-square value of input or sequence of inputs
Sort	Sort input elements by value
Standard Deviation	Find standard deviation of input or sequence of inputs
Variance	Compute variance of input or sequence of inputs

Transforms

Analytic Signal	Compute analytic signals of discrete-time inputs
Complex Cepstrum	Compute complex cepstrum of input
DCT	Compute discrete cosine transform (DCT) of input
DWT	Compute discrete wavelet transform (DWT) of input
FFT	Compute fast Fourier transform (FFT) of input
IDCT	Compute inverse discrete cosine transform (IDCT) of input
IDWT	Compute inverse discrete wavelet transform (IDWT) of input
IFFT	Compute inverse fast Fourier transform (IFFT) of input
Inverse Short-Time FFT	Recover time-domain signals by performing inverse short-time, fast Fourier transform (FFT)
Magnitude FFT	Compute nonparametric estimate of spectrum using periodogram method
Real Cepstrum	Compute real cepstrum of input
Short-Time FFT	Compute nonparametric estimate of spectrum using short-time, fast Fourier transform (FFT) method

Blocks — Alphabetical List