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Lecture
Signals & Systems I: Fundamentals
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Related lectures (30)
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Discrete Signals & Fourier Transform
Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.
Signal Sampling and Reconstruction: Fundamentals
Covers the fundamentals of signal sampling and reconstruction, including the sampling theorem and practical reconstruction systems.
Discrete Fourier Transform: Introduction
Introduces the discrete Fourier transform, a key tool for digital signal analysis.
Signals and Systems I: Symmetry Relations and Modulation
Explores symmetry relations, modulation, Fourier transform properties, and integration methods in signals and systems.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Fourier Transform and Sampling
Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.
Signals & Systems: Midterm Solutions
Covers the solutions to the midterm exam, focusing on multiple choice questions and detailed derivations.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
Fourier and Laplace Transforms: Concepts and Applications
Provides an overview of Fourier and Laplace transforms, their properties, and applications in signal analysis.
Frequency Response of LTI Systems
Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.
