Outliner Resistant Filtering and Smoothing. 2D Version.
Abstract
Consider a stationary Gaussian information process transmitted through an additive noise channel. The noise and information processes are mutually independent, and the noise process modeled as nominally Gaussian with additive outliers. For the above system model a theory is developed for outliers resistant filtering and smoothing operations. We then design specific such nonlinear operations, and we study their performance. The performance criteria are the asymptotic mean squared error at the Gaussian nominal model, the breakdown point, and the influence function. The proposed operations combine excellent performance at the nominal model with strong resistance to outliers.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 04, 1988
- Accession Number
- ADA193319
Entities
People
- Haralampos Tsaknakis
- P. Papantoni-kazakos
Organizations
- University of Virginia