Accession Number:

ADA210687

Title:

Adaptive Two Dimensional RLS (Recursive Least Squares) Algorithms

Descriptive Note:

Master's thesis

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1989-03-01

Pagination or Media Count:

108.0

Abstract:

A Two-Dimensional Fast Recursive Least Squares 2-D FRLS algorithm is presented using a geometrical formulation ed on the mathematical concepts of vector space, orthogonal projection and subspace decomposition. By appropriately ordering the 2-D data, the algorithm provides an exact least-squares solution to the deterministic Normal equations. The method is further extended to the general FIR Wiener filter and to ARMA modeling. The size and shape the support region for both the MA and AR coefficients of the filter can be chosen arbitrarly. The ARMA parameter mation problem is also considered for the case when the system input is not available . Computer simulations are presented to illustrate the applications of the algorithm for 2-D parameter estimation, system identification and image coding. Keywords Theses Adaptive filters VLSI Very large scale integration Electrical engineering.

Subject Categories:

  • Electrical and Electronic Equipment
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE