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

Design linear discrete-time systems and filters and analyze their behavior. Represent continuous-time signals and linear systems in discrete time, so that such signals can be recovered in continuous ...

At each sampling time instant, one observes system output and action to form discrete-time rewards. The sampled input-output data are collected along the trajectory of the dynamical system in ...

Physical systems become inherently more complicated and difficult to produce in a lab as the number of dimensions they exist ...

This course covers the basic theory of digital signal processing. Sampling theory, discrete time signals and systems, and transform methods - Z transform and Fourier series and transforms - are ...