Digital Signal Processing
Fee may apply
Advances in integrated circuit technology have had a major impact on where and how digital signal processing techniques and hardware are applied. An understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications.
This course introduces the basic concepts and principles underlying discrete-time signal processing. Concepts will be illustrated using examples of standard technologies and algorithms.
Students who take the 4-unit version of the course will be expected to complete an additional 4-week project and report.
EE102A and EE102B or equivalent. Students should also have basic programming skills in Matlab and C++.
- Sampling and multi-rate systems
- Oversampling and quantization in A-to-D conversion
- Properties of LTI systems
- Digital filter design
- Discrete Fourier Transform and FFT
- Parametric signal modeling
- Applications in speech/audio processing, autonomous vehicles and software radio
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:||April 1 - June 5, 2019|
|Times:||9:00 am - 11:20 am|
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.
*Note: All amounts shown are in USD
NotesEnrollment Dates: February 10 to March 18
This course may not currently be available to residents of certain states.