Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.
Explores isometries in Euclidean spaces, including translations, rotations, and linear symmetries, with a focus on matrices.
Explores the Extended Kalman Predictor algorithm and the linearized Kalman Filter for multivariable control systems, discussing the challenges and applications.
Covers the concept of affine transformations in functions, including shifting and compressing functions.
Explores the georeferencing of images, covering methodology steps, transformations, resampling, and practical application using QGIS software.
Explores Gaussian vectors, moment generating functions, independence, density functions, affine transformations, and quadratic forms.
