Abstract: The wideband signal detection framework which applies deep learning-based object detection networks to wideband spectrograms for joint signal detection, classification, and time-frequency ...
[cite_start]This project involves the design, development, and validation of a nonlinear 6-Degrees-of-Freedom (6-DOF) flight dynamics simulator tailored for a Short Take-off and Landing (STOL) ...
Abstract: To denoise radar signals, existing deep learning methods either treat their real and imaginary parts as independent channels, compromising phase integrity, or rely on chirp-wise segmentation ...
This project provides a real-time radar data capture and processing pipeline for TI mmWave radar sensors using the DCA1000EVM and a Python-based software stack — without relying on TI's mmWave Studio.
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