Release 2018b features updates to MATLAB and Simulink, two new toolboxes, and enhancements for developing, testing, and deploying deep learning and automotive applications.
Deep learning features in MATLAB continue to expand. Find out what’s new in deep learning as of Release 2018b, along with some other key features from recent releases.
Explore the latest features in image processing and computer vision such as interactive apps, new image enhancement algorithms, data preprocessing techniques, and 3D algorithms.
Perform signal analysis and signal processing tasks using MATLAB. Explore techniques for visualizing and measuring signals in time and frequency domains, spectral analysis, and designing FIR and IIR filters.
Run-Time Software Modeling helps you implement large-scale run-time systems by defining the components in a composition; simulating and testing them; generating code; and integrating the code into a larger system.
Hear how Simulink and Embedded Coder let you model classes and generate C++ code. Object-oriented design and realization is critical for services-oriented architecture and middleware including Adaptive AUTOSAR, ROS 2.0, DDS, and more.
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