Gaussian Noise: Decision Making

Related lectures (32)

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Covers projection, rotation, white Gaussian noise, and waveform observation in linear algebra.

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

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

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

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

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

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

By Emre Telatar explores binary hypothesis testing and decision rule design.

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

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