| Paper: | SPTM-P1.7 | ||
| Session: | System Identification and Parameter Estimation | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: System Modeling, Representation, & Identification | ||
| Title: | JOINT AR PARAMETER AND ORDER ESTIMATION IN A GENERAL NOISE ENVIRONMENT | ||
| Authors: | Jeong-Jin Lee; University of Waterloo | ||
| George Freeman; University of Waterloo | |||
| Abstract: | A new joint autoregressive (AR) parameter and order estimation approach is presented which works well regardless of noise type. Unlike many other existing AR estimation methods which require prior knowledge of model order and noise statistics, the proposed method provides embedded order estimation in the pole-zero domain without requiring any noise statistics. The joint method virtually achieves the Cramor-Rao bound (CRB) in a general noise environment. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops