An LDU decomposition algorithm for a block Toeplitz matrix having a parallel and pipelined computing structure

DOI10.1016/0020-0255(86)90003-4zbMath0618.65020OpenAlexW1999733495MaRDI QIDQ1822449

Youji Iiguni, Hidekatsu Tokumaru, Hideaki Sakai

Publication date: 1986

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(86)90003-4

zbMATH Keywords

block Toeplitz matrixcomputing timeLDU decomposition algorithmparallel and pipelined architecture

Mathematics Subject Classification ID

Direct numerical methods for linear systems and matrix inversion (65F05)

Cites Work

• A parallel architecture for Kalman filter measurement update and parameter estimation
• Covariance matrices characterization by a set of scalar partial autocorrelation coefficients
• On periodic and multiple autoregressions
• A highly concurrent algorithm and pipeleined architecture for solving Toeplitz systems
• On a generalized Szegö- Levinson realization algorithm for optimal linear predictors based on a network synthesis approach
• Algorithms for Triangular Decomposition of Block Hankel and Toeplitz Matrices with Application to Factoring Positive Matrix Polynomials

This page was built for publication: An LDU decomposition algorithm for a block Toeplitz matrix having a parallel and pipelined computing structure