The Student Services team will have office hours at Harmony House (561 Lomita Dr, Stanford, CA 94305) on Tuesday and Thursday from 10 a.m. to 4 p.m.
The Fourier Transform and Its Applications
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.
Details:
- Catalog Number
- EE 261-01
- Class Number
- 23033
- Course Cost
- $4116.00
- Population
- Undergraduate, Graduate
- Units
- 3
- Interest Area
- Computer Science and Engineering
- Course Format & Length
- In-Person, 8 weeks
- Instructors
- Yurt, M.
- Dates
- -
- Prerequisites
-
Math through ODEs, basic linear algebra, comfort with sums and discrete signals, Fourier series at the level of EE 102A
- Schedule
- Mon, Wed 9:45 AM - 11:15 AM