PHYS 5313
Physical Applications of Fourier Analysis
Fourier transform, convolution. Sampling theorem. Applications to imaging: descriptors of spatial resolution, filtering. Correlation, noise power. Discrete Fourier transform, FFT. Filtering of noisy signals. Image reconstruction in computed tomography and magnetic resonance. Laplace transform. Integral transforms, application to boundary value problems.
Prerequisites & course information
Also offered at the undergraduate level, with different requirements, as PHYS 4203 , for which additional credit is precluded.
Sources
- Course catalogue ↗2026–2027