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22 result found




  • Reduced Order Modeling based on Neural Networks

    Reduced Order Modeling Based on Neural Networks

    Learn about Reduced Order Modeling (ROM), how it can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB

  • COMSOL Multiphysics Battery Design Module interface

    Battery Pack Design in COMSOL Multiphysics

    Discover COMSOL Multiphysics’ capabilities for monitoring the temperature distribution of a battery pack. See how you can optimize battery design in the development cycle using the Battery Design Module.

  • MATLAB and Simulink for Automotive

    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

    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.

  • 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?