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Signals & Systems I: Distributions and Linear Systems
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Related lectures (62)
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Explores convolution properties, heat equation application, and Fourier transform on tempered distributions.
Signals and Systems: Sampling Theorem and Applications
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Distributed Transactions: Consistency Spectrum
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Sampling and Reconstruction
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Dynamical Systems for Engineers
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Covers the theoretical basis of linear and nonlinear dynamical systems for engineers.
Systems and Linear Equations: Introduction
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Quantum Bound States
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Explores quantum bound states, wave functions, energy levels, and potential energy in quantum systems.
Signals and Systems: Introduction
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Introduces the fundamental concepts of Signals and Systems course, emphasizing practical applications of system behavior analysis.
Matrix Inverses: Properties and Calculations
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Basic Principles of Oscillators
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Stochastic Models for Communications: Discrete-Time Markov Chains - First Passage Time
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Explores discrete-time Markov chains, emphasizing the concept of first passage time in communication systems.
Laplace Transform Basics
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Covers the Laplace transform basics, including examples of complex-valued poles and its application to LTI systems.
Newton Method: Data Interpolation
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Signals & Systems I: Weighting Windows and Gibbs Phenomenon
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Z-Transforms: Poles and Zeros
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Gaussian Mixture Models & Noisy Signals
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Dispersion Models: Understanding Axial Dispersion Coefficient
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Feedback and Stability
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Explores negative feedback in analog circuits, focusing on desensitizing gain, reducing distortion, controlling noise, and extending bandwidth.
Quantum Chaos and Scrambling
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Explores the concept of scrambling in quantum chaotic systems, connecting classical chaos to quantum chaos and emphasizing sensitivity to initial conditions.
Queueing Theory: Definitions, M/M/s/K
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Covers the definitions and properties of queueing systems, focusing on the M/M/s/K model.
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