Project-Based Learning in Communications and Robotics

Related lectures (32)

Page 3 of 4

Explores the advancements and challenges in neuromorphic electronic skins, aiming to enable intuitive use of replacement limbs and autonomous robots.

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Explores the evolution and impact of mobile networks, discussing the challenges and advancements in wireless technologies.

Discusses how robots manipulate objects using natural language instructions and integrates vision-language models for enhanced performance.

Explores neural signal processing methods, fMRI designs, GLM analysis, and quality control.

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Covers the integration of visual perception and robotic actions in embodied AI.

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Explores adaptive signal processing, gradient descent, and the LMS algorithm for efficient filtering and neural network training.