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Lecture
Signals & Systems II: Filter Implementations
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Related lectures (32)
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Signal Processing: Basics and Spectral Analysis
Covers the basics of signal processing, linear estimation, and digital filters.
Fourier Transform and Convolution Product in Signal Processing
Explores the Fourier transform, convolution product, and their applications in signal processing.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Image Processing I: Filter Design and Boundary Conditions
Explores filter design, boundary conditions, Fourier-domain filtering, and useful smoothing filters for image processing.
Signals & Systems I: Filter Equations and Poles
Explores rational transfer functions, filter equations, poles, zeros, and impulse response in signal processing.
Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Fast Fourier Transform (FFT): Basics and Applications
Covers the Fast Fourier Transform (FFT) algorithm and its applications in computational physics, including image processing, experimental techniques, filters, and analysis of microscopy images.
Digital Filters: Structure and Implementation
Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.
Fourier Series and Analysis
Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.
LTI Systems Analysis
Covers the analysis of LTI communication systems through Fourier transforms and system stability.
