Signal Processing: Basics and Applications

Related lectures (50)

Covers the Fourier transform for any function and periodic representations in reciprocal lattices.

Explores Brain Computer Interfaces, Retina and Cochlear implants, and microelectronic systems for biomedical applications.

Explores advanced mathematical analysis topics, including Laplace transform methods and integral equations.

Covers the implementation of Markov Chain Monte Carlo (MCMC) with the Metropolis algorithm for sampling from posterior distributions.

Covers the study of the heat and wave equations, including the process of separating variables to find solutions.

Covers the principles and optimization of bipolar transistors, focusing on PNP and NPN configurations and their performance characteristics.

Covers average values, uncertainties, and the behavior of photons in various contexts.

Covers the basics of thermal conduction, including Fourier's equation and heat transfer regimes.

Covers digital signal processing, binary and Boolean logic, and practical examples of digital circuits.

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