Course Description :
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.
Other Resources :
Handouts | Citation |
Other Physics Courses
- Modern Physics: Einsteins General Theory of Relativity By: Stanford University
- Modern Physics: Statistical Mechanics By: Stanford University
- Thermodynamics and Kinetics By: MIT OCW
- Modern Physics: Special Relativity By: Stanford University
- Artificial Intelligence: Introduction to Robotics By: Stanford University
- Modern Physics: Classical Mechanics By: Stanford University
- Physics 210 - General Physics I By: University of Missouri Kansas City
- Physics 250:Physics for Scientists and Engineers-II By: University of Missouri Kansas City
- Nuclear Reactions and Radiation By: UC Berkeley
- Engineering Physics II By: IIT Kanpur
No Comments Available.