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