Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.
Explains impulse response in continuous-time systems and how to find system output.
Explores the Fourier transform application to LTI systems, including frequency response, convolution, differentiation, and solving differential equations.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
