Signals and Systems: Mathematical Description and Identification Strategies

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Related lectures (31)

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Linear Algebra Basics: Matrix Representations and Transformations

Explores linear algebra basics, emphasizing matrix representations of transformations and the importance of choosing appropriate bases.

Linear Mapping Basics

Covers the basics of linear mapping and coordinate systems.

Matrix Operations: Transposition, Rank, and Basis Change

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

Linear Mapping and Bases

Explores linear mapping, isomorphism, and change of bases in vector spaces.

Matrix Representation of Linear Transformation

Explains the matrix representation of linear transformations between vector spaces.

Linear Transformation: Matrix Representation

Explains how to construct the matrix representation of a linear transformation using ordered bases.

Uncertainty Principle

Explores the uncertainty principle in quantum mechanics, covering compatible observables, system states, and mathematical representations of uncertainty.

Signals & Systems I: Introduction and Signal Processing

Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.

Change of Basis: Example

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

Spherical Tensors and Wigner-Eckart Theorem

Covers the transformation of vectors and tensors in quantum physics.