Lectures related to Neural Signals and Signal Processing

Explores Statistical Signal & Data Processing fundamentals, tools, and applications in various fields.

Explores frequency estimation in deterministic signals using the DFT and spectral resolution.

Introduces electrostatics fundamentals, covering electric charges, fields, potentials, conductors, and Faraday's cage experiments.

Covers the introduction and solutions of linear equations, including methods for solving systems and determining the number of solutions.

Explores visual intelligence, perception, image classification, and the connection between vision and action in complex systems.