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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.

  • 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.

  • 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.

  • Deep Learning with MATLAB

    Today we are living in a renaissance of artificial intelligence, Machine Learning, and Deep Learning, and everyone wants to be a part of this movement. But the question is if you interested in using deep learning technology, where do you begin?

  • 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.