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Explore the Latest Features of MathWorks MATLAB R2024b Release

Major Updates in R2024b Release

The R2024b release of MathWorks MATLAB comes with significant updates across various toolboxes. The 5G Toolbox now allows users to explore candidate 6G waveform generation and use the Wireless Waveform Analyzer app to assess signal quality of acquired 5G waveforms. The DSP HDL Toolbox introduces the interactive DSP HDL IP Designer app, enabling customization, configuration of DSP algorithms, and generation of HDL code and verification components. Simulink Control Design enables the design and implementation of nonlinear and data-driven control techniques, such as sliding mode and iterative learning control. Additionally, System Composer now allows users to edit subsetted views and describe system behavior using activity and sequence diagrams.

Release Highlights and Enhancements

The latest release offers enhancements to various features within MATLAB and Simulink. Users can now customize font, size, color, and formatting of text and code styles in MATLAB Live Editor. In Simulink, the Component Interface View feature allows for the creation, editing, and viewing of interfaces in a perspective that highlights component boundaries and signal tracing. The 5G Toolbox includes the 6G Exploration Library, enabling users to explore 6G enabling technologies conveniently within MATLAB. Moreover, users can access the Help Center to view documentation in their system web browser, solve systems of ordinary differential equations interactively using the Live Editor, and read remote data over HTTP and HTTPS with additional functions across multiple categories.

Usability and Efficiency Improvements

The R2024b release of MATLAB and Simulink focuses on usability and efficiency improvements. Graphics enhancements allow users to visualize grouped numeric data with violin plots and create compass plots in polar axes. The introduction of the dbstop function enables users to pause execution when unsuppressed output is returned to locate missing semicolons efficiently. Build Automation features allow users to create and run a group of tasks seamlessly. In Simulink, the new Runtime Variants feature enables changing the active choice of a Variant Subsystem block during simulation or code generation, while the Simulation Data Inspector offers faster session saving and loading with the new MLDATX 2.0 file format.

Resources and Support

For users considering upgrading to the R2024b release, comprehensive Release Notes, information on License-Related Changes, and Software Maintenance Services are available. Users can also find details on System Requirements and explore Previous Releases for reference. MathWorks continues to support its users through various channels, including Installation Help, MATLAB Answers, Consulting services, License Center, and dedicated Support contacts. Additionally, users can access a range of learning resources, such as Documentation, Tutorials, Examples, Videos, Webinars, and Training sessions to enhance their proficiency with MathWorks software.

Transform Engineering and Science with MATLAB for Artificial Intelligence

MATLAB and Simulink for Artificial Intelligence

MATLAB is a powerful engineering platform that enables the seamless integration of Artificial Intelligence (AI) in the design, development, and operationalization of engineered systems. Engineers and scientists leverage MATLAB to enhance AI datasets, construct domain-specific AI models, and continually test these models in a broad system-wide context. One of the key advantages highlighted by professionals like Katja Deuschl from Mercedes-Benz is the elimination of tedious manual coding processes, leading to increased efficiency and reduced errors in AI development. The platform provides transformative capabilities, allowing users to elevate workflows and devise innovative solutions within complex environments.

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Exploring the Power of MathWorks MATLAB Simulink for Design, Simulation, and Deployment

Model-Based Design with Simulink

Simulink, offered by MathWorks as a part of MATLAB solutions, revolutionizes development processes by employing Model-Based Design. This methodology enables companies to utilize models comprehensively, starting from the concept phase to the operational stage. By leveraging virtual models, users can simulate and test systems iteratively, ensuring design validation. Moreover, the transition to physical models, Hardware-in-the-Loop testing, and rapid prototyping is seamless, facilitating efficient design verification. Notably, Simulink simplifies the process of generating production-quality code in various languages like C, C++, CUDA, PLC, Verilog, and VHDL, enabling direct deployment to embedded systems. This interconnected digital thread provided by Simulink ensures traceability throughout the development lifecycle, spanning requirements, system architecture, component design, code, and tests. Additionally, the extension of models to operational systems allows for predictive maintenance and fault analysis, enhancing system performance and reliability.

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MATLAB for Students: Empowering Future Engineers and Scientists

Unleashing the Power of MATLAB for Students

MATLAB is not just a software tool; it's a gateway to unlocking the potential of students in the fields of engineering and science. With MATLAB, students can delve into data analysis for their homework assignments, conduct cutting-edge research, and hone their programming skills to pave the way for a successful career in these dynamic fields.

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Mastering System and Algorithm Modeling with MATLAB Simulink Training

Introduction to Simulink Interface and Basic Model Creation

The 'Simulink Fundamentals' course, previously known as 'Simulink for System and Algorithm Modeling,' is tailored for engineers who are new to system and algorithm modeling using Simulink. Over the course of two days, participants learn how to apply fundamental modeling techniques to build Simulink block diagrams efficiently. The initial day focuses on creating and simulating models. Attendees are introduced to the Simulink interface, where they create a simple model, simulate it, and analyze the results. They delve into topics such as generating and visualizing signals, understanding solver behavior, dealing with algebraic loops, and modeling basic programming constructs within Simulink, including comparisons, decision statements, and actuator logic systems. This hands-on approach allows engineers to gain practical experience in system dynamics simulation and model analysis.

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Empower Your Skills with MATLAB and Simulink Training

Comprehensive Training for MATLAB Fundamentals

MATLAB Fundamentals courses equip you with the essential knowledge and skills required for data analysis, modeling, and programming. Whether you are a beginner or looking to enhance your proficiency, these courses provide a solid foundation to excel in MATLAB. Learn from experienced MathWorks instructors in virtual or in-person settings, tailored to suit your learning style and preferences.

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