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Partner Certification & Solutions Catalog

THE MATHWORKS

Products

5G Toolbox

Simulate, analyze, and test 5G communications systems 5G Toolbox™ provides standard-compliant functions and reference examples for the modeling, simulation, and verification of 5G New Radio (NR) communications systems. The toolbox supports link-level simulation, golden reference verification, conformance testing, and test waveform generation.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Aerospace Blockset

Aerospace Blockset software extends Simulink® with blocks for modeling and simulating aircraft, spacecraft, rocket, and propulsion systems, as well as unmanned airborne vehicles. It also includes blocks that implement mathematical representations from aerospace standards, common references, and first principles. Blocks for modeling equations of motion and for navigation, gain scheduling, visualization, unit conversion, and other key operations are also provided.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Aerospace Toolbox

Aerospace Toolbox provides reference standards, environmental models, and aerodynamic coefficient importing for performing advanced aerospace analysis to develop and evaluate your designs. Options for visualizing vehicle dynamics include a six-degrees-of-freedom MATLAB® animation object and interfaces to FlightGear flight simulator and Simulink 3D Animation™ software. These options let you visualize flight data in a three-dimensional (3-D) environment and reconstruct behavioral anomalies in flight-test results.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Antenna Toolbox

Antenna Toolbox™ provides functions and apps for the design, analysis, and visualization of antenna elements and arrays. You can design standalone antennas and build arrays of antennas using predefined elements with parameterized geometry, arbitrary planar structures, or custom 3D structures described with STL files.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Audio Toolbox

Audio Toolbox™ provides tools for audio processing, speech analysis, and acoustic measurement. It includes algorithms for processing audio signals such as equalization and time stretching, estimating acoustic signal metrics such as loudness and sharpness, and extracting audio features such as MFCC and pitch. It also provides advanced machine learning models, including i-vectors, and pretrained deep learning networks, including VGGish and CREPE. Toolbox apps support live algorithm testing, impulse response measurement, and signal labeling. The toolbox provides streaming interfaces to ASIO™, CoreAudio, and other sound cards; MIDI devices; and tools for generating and hosting VST and Audio Units plugins.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Automated Driving Toolbox

Automated Driving Toolbox™ provides algorithms and tools for designing, simulating, and testing ADAS and autonomous driving systems. You can design and test vision and lidar perception systems, as well as sensor fusion, path planning, and vehicle controllers. Visualization tools include a bird’s-eye-view plot and scope for sensor coverage, detections and tracks, and displays for video, lidar, and maps. The toolbox lets you import and work with HERE HD Live Map data and ASAM OpenDRIVE® road networks.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

AUTOSAR Blockset

AUTOSAR Blockset provides apps and blocks for developing AUTOSAR Classic and Adaptive software using Simulink® models. You can design and map Simulink models to software components using the AUTOSAR Component Designer app. Alternatively, the blockset lets you generate new Simulink models for AUTOSAR by importing software component and composition descriptions from AUTOSAR XML (ARXML) files.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Bioinformatics Toolbox

Bioinformatics Toolbox™ provides algorithms and apps for Next Generation Sequencing (NGS), microarray analysis, mass spectrometry, and gene ontology. The toolbox also provides statistical techniques for detecting peaks, imputing values for missing data, and selecting features.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Communications Toolbox

Communications Toolbox ™ provides algorithms for the design, simulation and analysis of communication systems. These functions are provided in the form of MATLAB ® functions, MATLAB System objects ™ and Simulink ® blocks. The System Toolbox allows source coding, channel coding, interleaving, modulation, equalization, synchronization and channel modeling. You can also analyze bit error rates, create eye and constellation diagrams and display channel properties. With adaptive algorithms, you can model dynamic communication systems that use OFDM, OFDMA and MIMO techniques. The algorithms support fixed-point arithmetic as well as the generation of C and HDL code.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11
  • Hardware Architecture x86-64, x86
  • Highlights

Computer Vision Toolbox

Computer Vision System Toolbox(TM) provides algorithms and tools for the design and simulation of computer vision and video processing systems. These capabilities are provided as MATLAB(R) functions, MATLAB System objects(TM), and Simulink blocks. The system toolbox includes algorithms for feature extraction, motion detection, object tracking, stereo vision, video processing, and video analysis. Tools include video file I/O, video display, drawing graphics, and compositing. For rapid prototyping and embedded system design, the system toolbox supports fixed-point arithmetic and C-code generation.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Control System Toolbox

Control System Toolbox™ provides algorithms and apps for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state-space, zero-pole-gain, or frequency-response model. Apps and functions, such as step response plot and Bode plot, let you analyze and visualize system behavior in the time and frequency domains.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Curve Fitting Toolbox

Curve Fitting Toolbox™ provides an app, and functions for fitting curves and surfaces to data. These functions exploratory data analysis can be performed, data pre-and post-process, compare candidate models and remove outliers. Regression analyzes can be carried out either with the included library of linear and nonlinear models as well as by defining your own equations. Solver parameters and initial conditions of the library have been pre-optimized to improve the approximation obtained. The toolbox also supports nonparametric modeling techniques as spline interpolations and smoothing.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Database Toolbox

Database Toolbox™ provides an app and functions for exchanging data between relational databases and MATLAB®. You can use SQL commands to read and write data or use the Database Explorer app to interact with a database without using SQL. The toolbox supports ODBC-compliant and JDBC-compliant databases, including Oracle®, MySQL®, Sybase®, Microsoft® SQL Server®, and Informix®. You can apply simple and advanced conditions to database queries from MATLAB. The toolbox lets you access multiple databases simultaneously within a single MATLAB session and enables segmented import of large data sets.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Datafeed Toolbox

Datafeed Toolbox™ provides access to current, intraday, historical, and real-time market data from leading financial data providers. By integrating these data feeds into MATLAB®, you can develop realistic models that reflect current financial and market behaviors. The toolbox also provides functions to export MATLAB data to some data service providers. You can establish connections from MATLAB to retrieve historical data or subscribe to real-time streams from data service providers. With a single function call, the toolbox lets you customize queries to access all or selected fields from multiple securities over a specified time period. You can also retrieve intraday tick data for specified intervals and store it as time series data.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

DDS Blockset

DDS Blockset provides apps and blocks for modeling and simulating software applications that publish or subscribe to Data Distribution Service (DDS) middleware. The blockset includes a DDS dictionary that lets you manage, create, and edit your DDS definitions in Simulink®. You can import DDS specifications as XML files to create a skeleton Simulink model as a starting point for developing algorithms for DDS applications.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Deep Learning HDL Toolbox

Deep Learning HDL Toolbox™ provides functions and tools to prototype and implement deep learning networks on FPGAs and SoCs. It provides pre-built bitstreams for running a variety of deep learning networks on supported Xilinx® and Intel® FPGA and SoC devices. Profiling and estimation tools let you customize a deep learning network by exploring design, performance, and resource utilization tradeoffs.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

Deep Learning Toolbox

Deep Learning Toolbox™ provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long short-term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. The Experiment Manager app helps you manage multiple deep learning experiments, keep track of training parameters, analyze results, and compare code from different experiments. You can visualize layer activations and graphically monitor training progress.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights

DO Qualification Kit

DO Qualification Kit provides documentation, test cases, and procedures that let you qualify Simulink® and Polyspace® software verification tools for projects based on DO-178C, DO-278A, and related supplements. The kit contains tool qualification plans, tool operational requirements, and other materials required for qualifying software verification tools. With the kit, you can streamline certification of embedded systems developed using supported Simulink and Polyspace products.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

DSP System Toolbox

DSP System Toolbox(TM) provides algorithms and tools for the design and simulation of signal processing systems. These capabilities are provided as MATLAB(R) functions, MATLAB System objects(TM(, and Simulink(R) blocks.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12, SLED 11, SLES 11
  • Hardware Architecture x86-64, x86
  • Highlights

Econometrics Modeler

The Econometric Modeler app provides a flexible interface for interactive exploratory data analysis of univariate time series and conditional mean (for example, ARIMA), conditional variance (for example, GARCH), and time series regression model estimation. Using the app, you can: Visualize and transform time series data. Perform statistical specification and model identification tests. Estimate candidate models and compare fits. Perform post-fit assessments and residual diagnostics. Automatically generate code or a report from a session.

  • Platform SLED 15, SLES 15, SLED 12, SLES 12
  • Hardware Architecture x86-64
  • Highlights