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Machine Learning for Space Missions: A Game Changer for Vision-Based Sensing

Explore the white paper by Ossi Saarela, MathWorks’ Space Segment Manager, about the impact of vision-based sensing and machine learning on space missions. Delve into topics such as traditional development, accelerated development with MATLAB and Simulink, machine learning’s transformative role, and the future of space-rated hardware.
Key Advantages of Using Speedgoat Target Hardware with Simulink

Dive into the world of R&D as we unveil how the dynamic duo of Simulink and Speedgoat turbocharge testing processes. Learn how their seamless integration ensures precision and real-world replication for groundbreaking innovations.
Real-Time Simulation and Testing with Simulink and Speedgoat

In this blog and inserted video, recorded at the SciEngineering Conference 2022, we delve deeper into the world of Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) testing and how RCP and HIL testing can be utilized to detect design flaws early in the development process.
AI: Driving the Industry Towards Greater Success

Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.
Quantization Noise: What Is It, And Why Should You Care?

Explore the world of quantization noise and its significance in this blog. Learn how to handle finite word-length arithmetic with fixed- and floating-point approaches.
Key MATLAB and Simulink Capabilities for Aerospace and Defense

Explore MATLAB and Simulink capabilities that can help aerospace and defense organizations with control systems, system design, and physical modeling.
MATLAB and Simulink for Artificial Intelligence

Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.
Excitation Signals for Identification of Dynamic Systems

Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.
FBMC – An Ever-Promising Candidate for 5G Technologies and Beyond

In this blog, we discuss the newest solution for improving the signal processing of FBMC receivers. Explore the newest solution for improving the signal processing of FBMC receivers, including efficient implementation strategies and receiver structure enhancements. Discover new insights and alternative signal processing solutions that promise enhanced performance and reduced complexity for these crucial systems.
Motor Control Design with Simulink

Learn how to reduce motor control development time by using simulation models to design and verify control algorithms and deploy those algorithms to hardware using automatic code generation.