Description
In
this episode of MATLAB Unboxed, Marco Roggero explores the fascinating
world of Micro-Doppler effects in radar systems. Discover how subtle movements,
such as a person walking or a helicopter’s rotating blades, can generate rich
radar signatures. Marco dives into real-world applications, including
pedestrian and bicyclist classification using deep learning, and explains how
MATLAB helps model, simulate, and analyze these effects. Learn how these
powerful tools can be applied in areas like autonomous driving, surveillance,
and beyond.
In this episode of MATLAB
Unboxed, Marco Roggero delves into the exciting and impactful world of
electrification, exploring its importance in modern engineering and the
critical challenges it presents. He discusses how MATLAB, Simulink, and
Simscape support engineers in developing electrification...
Published 11/07/24
MATLAB Unboxed: Signal Labeling for Radar
In this episode of MATLAB Unboxed, Marco Roggero delves into the
importance of signal labeling for radar systems, particularly in the context of
artificial intelligence and machine learning. Discover how MATLAB’s Signal
Labeler simplifies the process of...
Published 09/18/24