Exponential Modeling Using Combined Forward and Backward Prediction
Abstract
A sequence of complex data can be modeled using a damped exponential model. Forward or backward linear prediction can be used to estimate poles, and then total least squares can be used to estimate amplitudes for each pole. When model order is larger than true order, extraneous poles appear. These poles generally appear inside or outside the unit circle, depending on whether forward or backward prediction is used, respectively. Since true poles appear in approximately the same place for both methods, use of combined forward and backward pole estimation can be used to distinguish true poles from extraneous ones.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1989
- Accession Number
- ADA212317
Entities
People
- R. Moses
- W. Steedly
Organizations
- Ohio State University