Designing and Implementing Real-Time Signal Processing Systems
Signal processing is essential for a wide range of applications, from data science to real-time embedded systems. Some of the challenges in developing signal processing system are the acquiring and processing raw data from sensors to derive meaningful information and designing algorithms for real-time processing. MATLAB® and Simulink® provide a platform for exploring and analyzing time-series data and a unified workflow for the development of embedded DSP software and hardware by providing a complete workflow for fixed-point design and C and HDL code generation.
During this video, you will learn about:
- Acquiring, measuring, and analyzing signals from various sources
- Designing streaming algorithms to analyze patterns in signals and extract meaningful information
- Implementing, prototyping, and testing DSP algorithms on embedded processors, SoCs, and FPGAs
Recorded: 19 Apr 2017
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