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Related lectures (15)
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Orthogonal Vectors and Projections
Covers scalar products, orthogonal vectors, norms, and projections in vector spaces, emphasizing orthonormal families of vectors.
Analysis and Synthesis of Deterministic Signals
Explores the representation of signals as vectors, projection theorem, orthogonal functions, and examples.
Vector Representation of Signals
Explores the vector representation of signals, orthogonal functions, and Fourier series.
Quantum Physics: Orbital Angular Momentum
Delves into orbital angular momentum in quantum physics, emphasizing spherical harmonics' significance and normalization conditions.
Signals & Systems I: Vector Approximation and Signal Comparison
Explores vector approximation, signal detection, correlation, Fourier series, and signal comparison in signals and systems.
LLL Algorithm
Covers the LLL algorithm for lattice reduction and discusses Hermite's constant and Minkowski's theorem.
Orthogonal/Orthonormal Bases and Polynomials
Explores orthogonal and orthonormal bases, Gram-Schmidt process, and orthogonal polynomials in physics.
Nonlinear Equations: Convergence and Taylor Polynomials
Explores nonlinear equations, emphasizing convergence and Taylor polynomials for function approximation.
Error Analysis for Galerkin Scheme
Covers the error analysis for the Galerkin scheme and the importance of Galerkin orthogonality.
Canonical Correlation Analysis: Exercises Solutions
Presents solutions to exercises on Canonical Correlation Analysis, exploring correlation, Gram matrices, kernel matrices, and vector properties.
Non-parametric Regression: Smoothing Techniques
Explores non-parametric regression techniques, including splines, bias-variance tradeoff, orthogonal functions, wavelets, and modulation estimators.
Discrete Fourier Transform: Lecture 12
Explores the Discrete Fourier Transform, Fast Fourier Transform, orthogonal functions, and trigonometric approximations.
Integration Techniques: Change of Variable and Integration by Parts
Explores advanced integration techniques such as change of variable and integration by parts to simplify complex integrals and solve challenging integration problems.
Complex Analysis: Laplace and Fourier Transforms
Discusses complex analysis, focusing on Laplace transforms, Fourier series, and the heat equation's solutions and uniqueness.
Fourier Series: Convergence and Dirichlet Theorem
Covers Fourier series convergence, Dirichlet theorem, and applications in signal processing.
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