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Control Theory Fundamentals
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Related lectures (55)
Spectral Decomposition of Symmetric Matrices
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Explores the spectral decomposition of symmetric matrices, including diagonalization and orthogonal basis change matrices.
High-order Filters: LC Ladder Filters
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Explores the design and simulation of high-order LC ladder filters using active-RC circuits and impedance normalization techniques.
Algorithmic Foundations for Systems Certification
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Project Presentation: Semester Projects and Topics
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Vector Spaces: Operations and Properties
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Explores vector spaces, scalar products, standards, and symmetric matrices in the context of operations and properties.
Untitled
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Eigenvalues and Eigenvectors Decomposition
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Covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, and the normalization of vectors.
Signals & Systems I: Rectangular & Triangular Signals
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Explores periodic and non-periodic rectangular and triangular signals, along with 'b-spline' functions and their properties.
Deep Neural Networks
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Spectral Decomposition and SVD
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Explores spectral decomposition of symmetric matrices and Singular Value Decomposition (SVD) for matrix decomposition.
Network Functions: Analysis and Design
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Analog Circuits and Systems: Q&A Session
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Signals & Systems I: Uncertainty Relations and Gaussian Impulse
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Frequency Response and Filters: Signals & Systems I
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Analog Filters: General Synthesis and Transfer Functions
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