Streaming algorithms for audio, smart sensor, instrumentation, and IoT devices can be developed, tested, and implemented using MATLAB’s extensive features. Signals can be obtained, measured, and assessed from multiple sources.
The software delivers a unified workflow for the development of embedded systems and streaming applications. MATLAB makes it easy to use signal processing techniques to explore and analyze time-series data. Libraries of reference-standard algorithms also help generate newer, fresher ideas. Users can obtain images and videos from imaging hardware, utilize graphical tools to visualize and manipulate them, and migrate them to embedded software. MATLAB is integrated with a variety of solutions for image processing and computer vision. Users can access updated models such as GoogLeNet, VGG-16, VGG-19, AlexNet, ResNet-50, ResNet-101, and Inception-v3.
Even with just limited technical knowledge, users can run deployed models up to 7 times faster than other similar software. MATLAB solutions for Deep Learning allow users to design, build, and visualize convolutional neural networks using just a few lines.
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