Lectures related to Gaussian Noise: Decision Making

Gaussian Processes: Designing Receivers

Covers the theory behind Gaussian processes and the design of receivers using MAP calculations.

Hypothesis Testing with Gaussian Noise

Covers hypothesis testing with Gaussian noise and the standard Gaussian distribution.

Signal Processing Fundamentals

Covers the alternate formulation of signal processing and the sufficiency of the Waliland ratio in signal sets.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Volume and Signal Processing

Covers volume and signal processing concepts in mathematical calculations and signal analysis.

Signal Processing: Noise Filtering and Signal Estimation

Explores noise filtering, signal estimation, and signal-to-noise ratio optimization through Wiener-Khintchine theorem and power spectral density.

White Gaussian Noise in Communication Systems

Covers White Gaussian Noise in communication systems and its impact on signal transmission.

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Signal Processing Fundamentals

Covers the basics of signal processing, including auto covariance function, power spectral density, and filter design.

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Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

Signal Detection Theory

Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.

The Spike-Wigner model

Explores the Spike-Wigner model, low-rank matrix factorization, and Gaussian matrices.

Signal Processing Fundamentals Log in to Mediaspace to watch this video

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Signal Processing: Filtering and Noise Reduction Log in to Mediaspace to watch this video

Explores signal-to-noise ratio, filtering noisy signals, and power spectral density for noise reduction in signal processing.

Linear Estimation and Prediction Log in to Mediaspace to watch this video

Explores linear estimation, Wiener filters, and optimal prediction in signal processing.

Parametric Signal Models: Matlab Practice Log in to Mediaspace to watch this video

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Back to Linear Regression Log in to Mediaspace to watch this video

Covers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.