Neural Signals and Signal ProcessingExplores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Back to Linear RegressionCovers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.
Signal RepresentationDiscusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
Signal Processing FundamentalsExplores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
