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MIMO Detection
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Related lectures (30)
QR Factorization: Least Squares System Resolution
MOOC: Linear Algebra (Part 3)
Covers the QR factorization method applied to solving a system of linear equations in the least squares sense.
Diagonalization Techniques: Jacobi Method
Covers the Jacobi method, Givens rotation, QR decomposition, and diagonalization techniques in computational physics.
Matrix Decompositions: LU, Cholesky, QR, Eigendecomposition
Explores matrix decompositions, algorithms, computational complexity, and predator-prey interactions in numerical linear algebra.
Latent Factor Analysis: Movie Genre Classification
Explores latent factor analysis for movie genre classification based on male versus female leads.
Singular Value Decomposition
Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.
Singular Value Decomposition
Explores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.
Chaos and Lyapunov Exponents: Analyzing Predictability
Covers Lyapunov exponents, chaos measurement, and perturbation analysis in dynamical systems.
Singular Value Decomposition: Example
MOOC: Linear Algebra (Part 3)
Explains the step-by-step process of finding the singular value decomposition of a matrix.
Diagonalization Techniques: Jacobi Method
Explores the Jacobi method and diagonalization techniques, including similarity transformation, power methods, and QR decomposition.
Construction of an Iterative Method
Covers the construction of an iterative method for linear systems by decomposing a matrix A into P, T, and P_A.
QR Factorization: Orthogonal Bases
MOOC: Linear Algebra (Part 3)
Covers the QR factorization of a matrix A into Q and R.
Matrix Decomposition: QR Factorization
Introduces QR factorization for matrix decomposition, emphasizing its importance in various applications and the implications of a well-chosen model.
Linear Systems Resolution
MOOC: Linear Algebra (Part 1)
Explores LU decomposition for solving linear systems and the associativity of operations.
LU Decomposition: Linear Systems Applications
MOOC: Linear Algebra (Part 1)
Covers the LU decomposition method applied to linear systems, presenting the system in two steps.
QR Factorization
MOOC: Linear Algebra (Part 3)
Explains the QR factorization theorem and demonstrates the Gram-Schmidt procedure with an example.
LU Decomposition: Existence
MOOC: Linear Algebra (Part 1)
Explores LU decomposition of a matrix into lower and upper triangular matrices.
Jordan Form: Decomposition and Properties
Covers the decomposition of a matrix into Jordan blocks and the process of finding the Jordan form.
Linear Algebra: Orthogonal Projection and QR Factorization
Explores Gram-Schmidt process, orthogonal projection, QR factorization, and least squares solutions for linear systems.
Matrix Decompositions: LU, Cholesky, QR, Eigendecomposition
Explores matrix decompositions for solving linear systems and simulating dynamics.
MIMO Receivers
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Covers the system model, linear receivers, performance evaluation, and graphical interpretations of MIMO receivers, including maximum likelihood detection and successive interference cancellation.
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