Projections, Transformations: MN03-MN95

Related lectures (30)

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Explores the properties and applications of the Fourier transform in signal processing and mathematics.

Illustrates changing basis in linear algebra through a specific example involving a linear transformation in R4.

Explores isometries, distinguishing between rotations and reflections, and the preservation of orientation in geometric transformations.

Explores affine coordinate transformation, satellite tracking, and challenges in map projections.

Covers the concept of affine transformations in functions, including shifting and compressing functions.

Explores Gaussian processes, linear systems, transformations, and noise properties in multivariable control applications.

Explores additional transformations between geocentric and geodetic systems, map projections, and vertical reference systems.

Covers matrix transposition, rank, and basis change in linear algebra, exploring invertibility criteria and basis relationships.

Covers transforming surface normals, forced perspective, shading algorithms, and input values computation in fragment shaders.

Emphasizes the importance of using orthogonal bases in linear algebra for representing linear transformations.