Our world is increasingly digital and intelligent, with homes becoming smarter and devices becoming more human-like. That means that high-performance, multi-sensor devices such as wearables, audio headsets, smart speakers and more, all require embedded developers to incorporate a level of digital signal processing (DSP). Furthermore, the application of machine learning techniques to signal processing presents new opportunities and challenges for embedded developers.
This joint talk by Arm and MathWorks will demonstrate how embedded developers can take advantage of faster prototyping and faster time to production with signal processing instructions, software libraries, tools and resources available for Cortex-M processors. In addition, this presentation will showcase implementation examples using machine learning (ML) for pattern recognition in audio applications.