Stonick This research addresses the use of numerical optimization methods to develop real-time adaptive filters for estimating, identifying, or predicting time-varying and potentially nonlinear processes. The first phase of this work will be devoted to the development, analysis, and simulation of an optimal adaptive infinite-impulse response (IIA) filtering algorithm for telecommunications using homotopy continuation methods to perform the necessary nonlinear optimization. This research will increase our understanding of IIA filter structures in time- varying environments, and will ultimately lead to their more widespread use.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9157221
Program Officer
John Cozzens
Project Start
Project End
Budget Start
1991-09-01
Budget End
1997-02-28
Support Year
Fiscal Year
1991
Total Cost
$331,300
Indirect Cost
Name
Carnegie-Mellon University
Department
Type
DUNS #
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213