MathWorks unveiled Release 2024b (R2024b) of the MATLAB® and Simulink® product families today. R2024b introduces several major updates that streamline the workflows of engineers and researchers working on wireless communications systems, control systems, and digital signal processing applications.
In addition to MathWorks platform product improvements, R2024b includes major updates to popular MATLAB and Simulink tools, including:
- Originally built to provide functions for modeling, simulation, and verification of New Radio (NR) and 5G-Advanced systems, 5G Toolbox™ now enables the exploration of 6G waveform generation and signal quality assessments of 5G waveforms.
- DSP HDL Toolbox™ provides hardware-ready Simulink blocks and subsystems for developing signal processing applications. The toolbox now includes a new interactive DSP HDL IP Designer app for configuring DSP algorithms and generating HDL code and verification components.
- Simulink Control Design™ is used to design and analyze control systems modeled in Simulink and now offers the ability to design and implement nonlinear and data-driven control techniques, such as sliding mode and iterative learning control.
- System Composer™ enables architecture specification and analysis for model-based systems engineering and software architecture modeling. The tool now enables customers to edit subsetted views and describe system behavior with activity and sequence diagrams.
- Additionally, a new hardware support package is available for Qualcomm® Hexagon™ Neural Processing Unit (NPU), the technology embedded within the Snapdragon® family of processors. The package leverages Simulink and Model-Based Design to seamlessly deploy production-quality C code across various Snapdragon processors for DSP applications.
“An organization's capacity to deliver high-quality, reliable, and secure products underscores the critical role of simulation and Model-Based Design,” said MathWorks VP of Design Automation Andy Grace. “The enhancements in R2024b are designed to help scale, automate, and streamline key aspects of the workflow, enabling engineers to optimize system performance and reliability.”
