X-ray Tomography: Fourier Slice Theorem

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Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.

Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.

Covers inverse Fourier transform, frequency filtering, segmentation, thresholding, particle size estimation, and analysis using ImageJ.

Covers frequency selective filters, focusing on a simple low-pass filter example and its practical applications.

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.

Covers the application of Fourier transforms in tomography, focusing on the Radon transform and its inversion techniques.

Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.