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  • 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.

  • 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.

  • Power Electronics Control Design

    Discover three areas where Power Electronics Control Design with Simulink can transform your engineering projects. Reduce project time by 50%, access thousands of electrical modeling components, and build and tune motor control algorithms with ease.

  • Machine Learning with MATLAB

    Explore how MATLAB transforms the world of machine learning. Discover 5 areas where MATLAB can help solve diverse learning problems. From interactive apps to Simulink integration, we’ve got you covered.