• 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

    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.

  • 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.

  • Teaching Rigid Body Dynamics

    This comprehensive video series guides you through leveraging MATLAB to implement a Lagrangian dynamics approach, deriving motion equations for rigid body systems, and automating the process. Delve into the world of computational thinking and its role in mastering rigid body dynamics with MATLAB.

  • 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.