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Lecture
MIMO Detection
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Related lectures (30)
MIMO Receivers
Covers the system model, linear receivers, performance evaluation, and graphical interpretations of MIMO receivers, including maximum likelihood detection and successive interference cancellation.
QR Factorization: Least Squares System Resolution
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.
Cholesky Factorization: Theory and Algorithm
Explores the Cholesky factorization method for symmetric positive definite matrices.
Singular Value Decomposition
Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.
Construction of an Iterative Method
Covers the construction of an iterative method for linear systems, emphasizing matrix decomposition and convexity.
MIMO Capacity
Explores MIMO capacity, spatial multiplexing, matched filter, and power normalization in wireless communication systems.
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.
OFDM Channel Estimation
Explores OFDM channel estimation for wireless receivers, emphasizing the importance of accurate estimation in wireless communication systems.
MIMO RAKE Receiver: Simulation and MIMO Extension
Covers the implementation of IS-95 forward-link and MIMO extension.
Spatial Multiplexing in MIMO Channels
Explores spatial multiplexing in MIMO channels to enhance data rates and system performance through multiple antennas.
Singular Value Decomposition: Example
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
Covers the QR factorization of a matrix A into Q and R.
Eigenvalues and Eigenvectors Decomposition
Covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, and the normalization of vectors.
Matrix Decomposition: QR Factorization
Introduces QR factorization for matrix decomposition, emphasizing its importance in various applications and the implications of a well-chosen model.
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