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The Fourier Transform and Its Applications

JUNE 22, 2026 — AUGUST 13, 2026
EE261

Details:

Time: No Topic - No Type
Units: 3
Class Number: 11496
Interest Area: Computer Science and Engineering
Population: Undergraduate, Graduate
Interest Area: Computer Science and Engineering
Course Format & Length: In Person, 8 Weeks
Cross Listing: -
Grading Basis: Letter or Credit/No Credit

Description:

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. Emphasis is on relating the theoretical principles to solving practical engineering and science problems.

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