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  • 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 robotics working on a car

    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.

  • 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.

  • Equalization process of a SW equalizer applying COLA

    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.

  • Deep Learning for Images Classification

    Learn about image classification and why it’s crucial in computer vision. Discover how deep learning techniques can revolutionize image recognition, automate tasks, and enhance various applications like visual inspection, automated driving, and robotics. Dive into the realm of visual AI with deep learning and MATLAB.