The Fourier Transform and Its Applications
Fee may apply
The Fourier transform is both a theory and a mathematical tool with many applications in engineering and science. This course will emphasize relating the theoretical principles of the Fourier transform to solving practical engineering and science problems. Learn both specific techniques and general principles of the theory and develop the ability to recognize when, why, and how it is used. Develop a greater appreciation of its meaning and value through practical use of the transform.
Math through ODEs, basic linear algebra, comfort with sums and discrete signals, Fourier series at the level of EE102A
- The Fourier transform of continuous and discrete signals
- Convolution and correlations
- Distributions and their Fourier transforms
- Linear systems
- The discrete Fourier transform and the FFT algorithm
- Use in imaging, optics and crystallography
Note on Course Availability
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
|Dates:||January 7 - March 15, 2019|
|Days:||Mon, Wed, Fri|
|Times:||11:30 am - 12:20 pm|
|Instructors:||Brad G. Osgood|
Provides Stanford University credit that may later be applied towards a graduate degree or certificate. Includes access to online course materials and videos for the duration of the academic quarter. Starting Autumn 2016 there is a $100 fee per course for courses dropped before the drop deadline. Click here for more information about our Registration Policies.
NotesEnrollment Dates: October 28 to December 10, 2018
This course may not currently be available to residents of certain states.