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Why Use Virtual Prototyping for Electric Vehicle Development?

Learn why virtual prototyping is becoming increasingly essential in electric vehicle development and why MATLAB and SIMULINK are standout tools for this purpose.
From Strategy to Victory: SZEnergy Team’s Winning Formula at Shell Eco-marathon Europe

In this blog, the SZEnergy team members discuss how their dedication and MATLAB optimization turned their 6th-place car into a record-breaking Mileage Challenge winner. The blog explores the team’s journey to victory in the Autonomous Challenge and their commitment to innovation with MATLAB.
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.
MATLAB and Simulink for Automotive

Discover how MATLAB and Simulink drive automotive innovation. Learn how these tools expedite vehicle development and help OEMs meet evolving market demands.
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.