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Related lectures (32)
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Image Processing II: DFT, DCT, and Wavelet Transforms
Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.
DFT Calculation Examples
Covers examples of Discrete Fourier Transform calculations for different signals and frequencies.
The DTFT as a change of basis
Explores the DTFT as a change of basis, localizing functions, and the Dirac delta functional.
Signals & Systems II: Fourier Transform and Eigenvectors
Explores signal processing, Fourier transform, eigenvectors, and parallel implementation in linear systems.
Discrete Fourier Transform and FFTW
Explores Fourier series, Discrete Fourier Transform, FFTW library, and solving differential equations using FFT algorithms.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Discrete Fourier Transform: Introduction
Introduces the discrete Fourier transform, a key tool for digital signal analysis.
Texture: Analysis and Classification
Explores the analysis and classification of texture in images, emphasizing the role of Machine Learning techniques like Convolutional Neural Networks.
Frequency Estimation in Deterministic Case (Low Noise)
Covers frequency estimation in deterministic signals using DFT and signal processing.
The Discrete Fourier Transform (DFT): Definition
Explains the practical use of the Discrete Fourier Transform (DFT) for digital signal processing.
