Noise attenuation over additive gaussian channels

Dapeng Li, Naira Hovakimyan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We address the noise attenuation problem for linear time-invariant (LTI) systems in the presence of Gaussian communication channels. A novel Linear Matrix Inequality (LMI) approach is formulated to solve the problem. A simulation example is discussed to verify the proposed solution.

Original languageEnglish (US)
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
Pages2348-2353
Number of pages6
DOIs
StatePublished - 2010
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: Dec 15 2010 → Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2010 49th IEEE Conference on Decision and Control, CDC 2010
CountryUnited States
CityAtlanta, GA
Period12/15/10 → 12/17/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Access to Document

Fingerprint Dive into the research topics of 'Noise attenuation over additive gaussian channels'. Together they form a unique fingerprint.

Cite this