Explains bounded input, bounded output stability.
This collection is a brief and concise set on notes on continuous and discrete time signals and systems with some information on up and down sampling and a brief introduction to wavelets.
The module discusses how to represent linear, time-invariant systems.
Defines convolution and derives the Convolution Integral.
The module will introduce the convolution integral and how it can be used as a powerful tool in determining a system's output.
Details the Continuous-Time Fourier Series.
Review of the continuous-time fourier transform.
Details the Continuous-Time Fourier Transform.
Definir la convolución y obtener la Integral de Convolución.
This module focus on the discrete time processing of continuous time signals.
Explica las estabilidad de entrada acotada, salida acotada.
Lists the four Fourier transforms and when to use them.
Describes Laplace transforms.
Introduction to continuous and discrete Markov chains, including the "birth and death" process.
Explains poles and zeros of transfer functions.
Lists some properties of the Continuous Time Fourier Transform.
A table of signals, Laplace transforms, and regions of convergence for several properties.
Explains how to find the region of convergence for continuous-time linear time-invariant systems.
This module deals with translating continuous time problem into discrete time
Describes various classifications of signals.
