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Lecture
Fourier Transform and Sampling
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Related lectures (57)
Fourier Transform
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Covers the Fourier Transform, essential for analyzing stable LTI systems through complex exponentials.
Fourier Series and Transforms: Introduction and Properties
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Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.
Discrete Signals and Systems II: Fourier Transform Properties
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Explores the properties of the discrete Fourier transform and its applications in signal processing, emphasizing DFT reversal and DTFT resampling.
Discrete-Time Fourier Transform: Properties
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Explores the properties of Discrete-Time Fourier Transform, including linearity, time and frequency shifts, time reversal, and convolution.
Fourier Transform: Motivating Formula
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Covers the motivation behind the Fourier transform formula, explaining the process step by step.
Discrete-Time Fourier Transform
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Introduces the discrete-time Fourier transform and its application to stable LTI systems, covering properties and frequency response.
Signal Processing: Basic Definitions and Properties
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Explores basic signal definitions, properties, and digital signal processing techniques.
The Discrete Fourier Transform (DFT): Definition
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Explains the practical use of the Discrete Fourier Transform (DFT) for digital signal processing.
Frequency Response of LTI Systems
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Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.
Signal Processing Fundamentals
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Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Sampling and Spectrum of Signals
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Explores sampling signals and their spectrum, highlighting the significance of choosing the right sampling frequency for accurate signal representation.
Signals & Systems I: Introduction and Signal Processing
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Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.
Sampling Complex Exponentials
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Covers the sampling of complex exponentials and the challenges of reconstruction in different scenarios.
Laplace Transform: Basics
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Introduces Laplace transform, ROC, and LTI systems with transfer functions and frequency response.
Image Processing in Frequency Space
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Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.
Wireless Receivers: OFDM
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Covers the fundamentals of Orthogonal Frequency Division Multiplexing (OFDM) in wireless communication systems.
Signals & Systems II: Z-Transform Inversion and Convergence
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Explores Z-transform inversion, convergence, and signal properties in discrete time.
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