Continuous signals and systems and their properties. Frequency analysis and Fourier series. The continuous Fourier transform (CFT) and its properties. Convolution, correlation and power spectral density functions. Discrete signals and systems and their properties. The discrete Fourier transform (DFT). Sampling theory, aliasing and truncation effects. Linear and circular convolution and correlation. The fast Fourier transform (FFT). The two-dimensional CFT and DFT. The Laplace transform. Applications of spectral analysis in geodesy, remote sensing, digital imaging, positioning and navigation.
This course may not be repeated for credit.

Sections