EE 261 - The Fourier Transform and its Applications

Stanford Univ. - EE 261: The Fourier Transform and its Applications. Instructor: Professor Brad Osgood. The Fourier transform is a tool for
solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.
Topics include: The Fourier transform as a tool for solving physical problems. Fourier series, the Fourier transform of continuous and discrete signals and
its properties. The Dirac delta, distributions, and generalized transforms. Convolutions and correlations and applications; probability distributions,
sampling theory, filters, and analysis of linear systems. The discrete Fourier transform and the FFT algorithm. Multidimensional Fourier transform and
use in imaging. Further applications to optics, crystallography. (from see.stanford.edu)

EE 261 - The Fourier Transform and its Applications
Instructors: Professor Brad Osgood. Handouts. Assignments. Exams. The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.