• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

ALLSIGNALPROCESSING.COM

Learn signal processing online

  • Home
  • Courses
  • Courses
  • About
  • FAQ
  • My Account
  • Blog
  • News
  • Contact
  • Login
  • Logout
  • Get All Access

Stability and Causality of LTI Systems Described by Difference Equations

August 10, 2019 by

In this lesson you will learn the requirements for a system to be stable and causal. These critical properties are dependent on the locations of the poles in the z-plane. You will gain key insights about the most widely used class of systems in signal processing. Systems that are not stable are of no practical utility. Similarly, causality is required for any system that processes data as it is collected. These properties play a foundational role in filter design, equalization, and system modeling.

Click here to purchase immediate access to this and every other (more than 120) lesson!

Primary Sidebar

Courses

  • Foundations

  • Time Domain LTI Systems

  • Fourier Series and Transforms

  • Sampling and Reconstruction

  • The DFT and Applications

  • The Z-Transform

  • Intro to Filter Design

  • IIR Filter Design

  • FIR Filter Design

  • Random Signal Characterization

  • Basis Representations of Signals

  • Estimation of Power Spectra and Coherence

  • Introduction to Signal Estimation and Detection Theory

  • MMSE Filtering and Least-Squares Problems

Copyright © 2023 ALLSIGNALPROCESSING.COM | Site Design by 3200 Creative

  • Terms of Service
  • Privacy Policy
  • Contact