Signal Processing and Linear Systems I

Course Description

Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. Mathematical representation of signals and systems. Linearity and time invariance. System impulse and step responses. System frequency response. Frequency-domain representations: Fourier series and Fourier transforms. Filtering and signal distortion. Time/frequency sampling and interpolation. Continuous-discrete-time signal conversion and quantization. Discrete-time signal processing.

Course Details

  • Online Format: Synchronous - This course is taught in real-time, and students are expected to attend virtual sessions at specific times during the week. For more information on the schedule options for this course, please visit the Stanford Explore Courses website.


MATH 53 or CME 102

Group 3GroupGroup 2