Comprehensive introduction to analysis of continuous and discrete-time signals and systems. Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous ...

It covers the solving of convolution integrals and differential equations, the transformation of signals to Fourier series, the Fourier and Laplace transforms, with their application, in continuous ...

A major focus of the course is the Fourier transform — how, when, and why to use it. We also study linear time-invariant systems, modulation, quantization, and stability (using the related Laplace ...

Topics: linear time-invariant systems Fourier, Laplace, and Z-transforms system stability and design signal analysis sampling and modulation (possibly) wavelet transforms and principle component ...