About this document
Tomography and Signal Processing Basics by Andrea Bisciotti is a document available to read on EtoBox.
The document provides an overview of tomography, signal processing fundamentals, and Fourier transforms, including both continuous and discrete cases. It discusses the Dirac delta function, convolution, and the importance of sampling in signal processing, particularly the Nyquist theorem. Additionally, it covers image processing techniques using linear operations and Fourier analysis in two dimensions, emphasizing the properties of Fourier transforms and their applications in image representation and filter
- Author
- Andrea Bisciotti
- Language
- EN