Covers noise analysis in circuits, including small-signal and input-referred noise, with examples of amplifiers and filters.
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Explores electrical metrology, covering random variables, noise sources, and their impact on electronic devices.
Explores different types of noise in devices and circuits, including interference noise, inherent noise, and random signals.
Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.
