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Release 2017a Highlights

Release 2017a includes new releases of MATLAB^® and Simulink^® as well as updates and bug fixes to all other products.

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Release 2017a includes new releases of MATLAB and Simulink as well as updates and bug fixes to all other products.

Release 2017a Highlights

Model and simulate automotive powertrain systems using Powertrain Blockset.

Powertrain Blockset Overview

Design and simulate RF systems with RF Blockset.

RF Blockset Overview

Perform symbolic math computations using Symbolic Math Toolbox™. The toolbox provides functions for solving, plotting, and manipulating symbolic math equations.

Symbolic Math Toolbox Overview

Easily update all the models in your Simulink project to the latest release.

Simulink Project Upgrade

Mark a Simulink signal once to stream it to the Simulation Data Inspector and log it to the MATLAB workspace.

Unified Streaming and Logging

Simulink directly runs multiple parallel simulations from the parsim command using Parallel Computing Toolbox.

Parallel Simulations

The Volume Visualization app in Image Processing Toolbox lets you visualize and interact with a 3D volume.

Volume Visualization App

Create mobile apps directly from Simulink and run models on your Android or iOS phone or tablet.

Introduction to Simulink Hardware Support for Android and iOS Mobile Devices

Express state machine logic more concisely by using the duration and elapsed operators in Stateflow.

Temporal Logic Operators

View 3D capabilities, including the Volume Viewer app available in Image Processing Toolbox.

3D Volumetric Image Processing Demo

Add inports and outports to blocks when routing signals in Simulink.

Automatic Port Creation

Solve inverse and forward dynamics for RigidBodyTree objects using Robotics System Toolbox.

Control LBR Manipulator Motion Through Joint Torque Commands

Represent robot manipulators using a rigid body tree and calculate forward and inverse kinematics using Robotics System Toolbox.

Control PR2 Arm Movements Using ROS Actions and Inverse Kinematics

Generate an HTML report containing the interactive view of a Simulink model.

Embedded Web View

Use For Each subsystems in HDL Coder to generate concise HDL code for repeated instantiations of an algorithm.

For Each Subsystems in HDL Coder

Analyze internal signals to a free-running FPGA directly in MATLAB or Simulink.

HDL Verifier: FPGA Data Capture

The Image Registration App provides a comprehensive look at the various methods of image registration available in MATLAB. Explore the different methods including feature-based methods, intensity-based methods, and non-rigid methods.

Image Registration App

Simulink can stream large input signals from MAT-files without loading the data into memory.

Inport File Streaming

Automatically improve chart readability.

Stateflow Layout

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Most Viewed

Get an overview of MATLAB , the language of technical computing.

MATLAB Overview

Get started with MATLAB and learn how to get more information.

Getting Started with MATLAB

Create a graphical user interface using GUIDE, the graphical user interface development environment of MATLAB.

Creating a GUI with GUIDE

Write a MATLAB program, including creating a script and a function.

Writing a MATLAB Program

The MATLAB Onramp course provides a brief introduction to MATLAB. Learn language syntax and understand common MATLAB workflows interactively and at your own pace.

MATLAB Onramp Preview

Release 2016b includes new releases of MATLAB® and Simulink® as well as updates and bug fixes to all other products.

Release 2016b Highlights

Add capabilities to MATLAB , including community-authored and MathWorks toolboxes, apps, functions, models, and hardware support.

Add-On Explorer

Build and simulate a model with Simulink .

Getting Started with Simulink

Get an overview of Simulink modeling and simulation capabilities.

Simulink Overview

Share your work by publishing MATLAB code from the MATLAB Editor to HTML and other formats.

Publishing MATLAB Code from the Editor

Access tools such as the command history workspace browser and variable editor, save and load your workspace data, and manage windows and desktop layout.

Working in The Development Environment

Perform image processing, analysis, and algorithm development using Image Processing Toolbox.

Image Processing Toolbox Overview

Get started using MATLAB

Arduino and MATLAB: Reading Inputs and Writing Outputs

<em>d</em><strong>y</strong><em>/dt = A</em><strong>y</strong> contains solutions <strong>y</strong> <em>= e<sup>λt</sup></em><strong>x</strong> where <em>λ</em> and <strong>x</strong> are an eigenvalue / eigenvector pair for <em>A</em>.

Differential Equations and Linear Algebra, 6.3: Solving Linear Systems

Learn how machine learning tools in MATLAB(R) can be used to solve regression, clustering, and classification problems.

Machine Learning with MATLAB Overview

Create plots programmatically using basic plotting functions.

Using Basic Plotting Functions

Generate readable and portable C and C++ code from MATLAB code, including over 1,200 functions used for applications ranging from image processing and computer vision to advanced DSP and communications systems development.

Generating C Code from MATLAB Code

Package MATLAB programs as standalone applications using MATLAB Compiler. Share these applications royalty-free with users who do not have MATLAB.

Getting Started: Standalone Applications Using MATLAB Compiler

Create and manipulate MATLAB arrays, including accessing elements using indexing.

Working with Arrays in MATLAB

Use MATLAB for big data, machine learning, and production analytics systems.

Introduction to Data Analytics with MATLAB

MATLAB – Most Recent

Learn how MATLAB helps engineers and scientists analyze data, develop algorithms, and create models.

MATLAB for New Users

See how to use MATLAB, a simple webcam, and a deep neural network to identify objects in your surroundings. This demo uses AlexNet, a pretrained deep convolutional neural network that has been trained on over a million images.

Deep Learning with MATLAB: Deep Learning in 11 Lines of MATLAB Code

Learn how to use transfer learning in MATLAB to re-train deep learning networks created by experts for your own data or task.

Deep Learning with MATLAB: Transfer Learning in 10 Lines of MATLAB Code

Students all over the world use MATLAB and Simulink for cool projects and competitions while solving practical challenges in areas like robotics, fuel-efficient cars, and autonomous vehicles.

MATLAB Student Overview

Maximize efficiency by using an algorithm-based driving strategy with a vehicle model and GPS track data. Maximilian Amm, Alexander Hammerl, and Maximilian Mühlbauer designed a velocity controller for their EducEco / Shell Eco Marathon vehicle. Hammerl and Mühlbauer join Christoph Hahn, of MathWorks, to present their vehicle model and discuss their integration of a longitudinal velocity controller.

MATLAB and Simulink Racing Lounge: Cruise Control in Efficiency Challenges

Use ThingSpeak and a Raspberry Pi to build a car counter.

How to Use MATLAB and Simulink with ThingSpeak

You will learn strategies and techniques for handling large amounts of data in MATLAB. New big data capabilities in MATLAB R2016b will be highlighted, including tall arrays.

Tackling Big Data with MATLAB

The Volume Visualization app in Image Processing Toolbox lets you visualize and interact with a 3D volume.

Volume Visualization App

View 3D capabilities, including the Volume Viewer app available in Image Processing Toolbox.

3D Volumetric Image Processing Demo

The Image Registration App provides a comprehensive look at the various methods of image registration available in MATLAB. Explore the different methods including feature-based methods, intensity-based methods, and non-rigid methods.

Image Registration App

Working with big data in MATLAB is easy. Roy Lurie, MathWorks VP of Engineering for MATLAB Products, illustrates this with an overview of core and new capabilities in the product.

Why Use MATLAB for Big Data?

Learn how to apply, evaluate, fine-tune and deploy machine learning techniques with MATLAB.

Essential Tools for Machine Learning

Mondi Gronau worked with MathWorks Consulting Services to develop a failure prediction and process monitoring system using machine learning algorithms and acquired machine data.

Mondi Gronau Develops a Predictive Maintenance and Process Monitoring System Using Machine Learning

Use ThingSpeak and a Raspberry Pi to build a car counter.

How to Use MATLAB and Simulink with ThingSpeak

Discover how Malcolm Slaney has used MATLAB for more than 25 years to debug running speech-recognition systems, debug hardware errors, and solve numerous other difficult problems.

Documenting and Debugging Complex Signal Processing Systems with MATLAB

This presentation looks at the new tools available in 2016 MATLAB and Simulink product releases and how they help you work with even bigger data.

Navigating Big Data with MATLAB

Learn why the singular value decomposition, or SVD, is the Swiss Army knife of technical computation.

The Singular Value Decomposition Saves the Universe

MATLAB for macroeconomic stress testing: Building and deploying macro stress testing models.

Using MATLAB for Macroeconomic Stress Testing

Engineering data is essential to business-critical applications and creates opportunities for data analytics. See how new capabilities in MATLAB and Simulink empower you to design these systems.

The Rise of Engineering-Driven Analytics

Data is everywhere, and each year we store more and more of it. This talk looks at the new tools in the 2016 product releases that help you work with even bigger data sets.

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Simulink – Most Recent

Easily update all the models in your Simulink project to the latest release.

Simulink Project Upgrade

Mark a Simulink signal once to stream it to the Simulation Data Inspector and log it to the MATLAB workspace.

Unified Streaming and Logging

Simulink directly runs multiple parallel simulations from the parsim command using Parallel Computing Toolbox.

Parallel Simulations

Create mobile apps directly from Simulink and run models on your Android or iOS phone or tablet.

Introduction to Simulink Hardware Support for Android and iOS Mobile Devices

Express state machine logic more concisely by using the duration and elapsed operators in Stateflow.

Temporal Logic Operators

Add inports and outports to blocks when routing signals in Simulink.

Automatic Port Creation

Generate an HTML report containing the interactive view of a Simulink model.

Embedded Web View

Use For Each subsystems in HDL Coder to generate concise HDL code for repeated instantiations of an algorithm.

For Each Subsystems in HDL Coder

Simulink can stream large input signals from MAT-files without loading the data into memory.

Inport File Streaming

Quickly group signals as buses and automatically create bus element ports for fewer signal lines between and within subsystems in Simulink.

Reduced Bus Wiring: Bus Element Ports

Easily access simulation output data from Simulink in the MATLAB Variable Editor and MATLAB Command Window.

Simulation Data

Run simulation comparisons in Simulink with a new UI, time tolerance support, and faster performance.

Simulation Data Inspector

Get simulation results faster by using shared Simulink model artifacts.

Automatically improve chart readability.

Stateflow Layout

Learn how to control a motor with a Microchip MCU and MathWorks Embedded Coder

Motor Control with Embedded Coder for Microchip MCUs

Use PicoZed SDR with MATLAB and Simulink.

Getting Started with PicoZed SDR Using MATLAB and Simulink, Part 1: Tool Setup and Radio I/O

Use PicoZed SDR with MATLAB and Simulink.

Getting Started with PicoZed SDR Using MATLAB and Simulink, Part 2: Hardware and Software Codesign

Use the strengths of MATLAB<sup>®</sup> and Simulink<sup>®</sup> to deploy an algorithm to hardware.

Using Simulink to Deploy a MATLAB Algorithm on an FPGA or ASIC

Use ThingSpeak and a Raspberry Pi to build a car counter.

How to Use MATLAB and Simulink with ThingSpeak

Medical Device protoyping, real-time simulation and testing with Simulink Real-Time

Developing Safer Medical Devices Faster with Real-Time Simulation, Prototyping, and Testing

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