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Lecture
Fourier Transform: Basics
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Related lectures (29)
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Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Spectrogram Analysis: Psychoacoustic Foundations & Signal Processing
Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.
Signal Representations
Covers the properties of signal/data representations using Fourier transformations and matrices.
Fourier Transform: Properties and Convolution
Covers the properties and convolution of the Fourier transform.
Fourier Transform: Basics and Applications
Covers the basics of the Fourier transform and its applications in signal processing.
Fourier Transform: Derivatives and Laplace Transform
Explores the Fourier transform properties with derivatives and introduces the Laplace transform for signal transformation and solving differential equations.
Signal Processing: Sampling and Reconstruction
Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.
Fourier Transform and Convolution Product in Signal Processing
Explores the Fourier transform, convolution product, and their applications in signal processing.
Fourier Filters: Techniques for Image Processing
Covers Fourier filtering techniques using the 4F system for image processing and enhancement.
