Lectures related to MIMO Receivers

Explains the concept of least squares solutions and their application in finding the closest solution to a system of equations.

Covers the decomposition of matrices into triangular blocks and spectral decomposition.

Covers the Factorisation QR theorem and the Gram-Schmidt method for orthonormal bases.

Explores QR factorization and the least squares method for solving systems of equations.

Explores matrix decompositions, algorithms, computational complexity, and predator-prey interactions in numerical linear algebra.

Explores spectral and singular value decompositions of matrices.

Covers the construction of an iterative method for linear systems by decomposing a matrix A into P, T, and P_A.

Covers the Singular Value Decomposition (SVD) of a matrix and its applications.

Covers the LU decomposition method applied to linear systems, presenting the system in two steps.