Parametric inverse of severely ill-conditioned Hermitian matrices in signal processing

DOI10.1016/j.jfranklin.2011.12.006zbMath1283.94022OpenAlexW2026084988MaRDI QIDQ378616

Yan Wu

Publication date: 12 November 2013

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: http://www.sciencedirect.com/science/article/pii/S0016003211003292?np=y

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Optimal parametrization in numerical construction of curve
• Inversion of extremely ill-conditioned matrices in floating-point
• Control systems approach to the sample inverse covariance matrix
• Unknown input observer for linear non-minimum phase systems
• Circulant preconditioners for Toeplitz-block matrices
• Estimation of 2-D ARMA model parameters by using equivalent AR approach
• A fast exact weighted subband adaptive algorithm and its application to mono and stereo acoustic echo cancellation
• A new method for performance evaluation of bit decoding algorithms using statistics of the log likelihood ratio
• Convergence of Rump's method for inverting arbitrarily ill-conditioned matrices
• Solving Systems of Linear Equations With a Positive Definite, Symmetric, but Possibly Ill-Conditioned Matrix
• A Proposal for Toeplitz Matrix Calculations
• An Optimal Circulant Preconditioner for Toeplitz Systems
• A unified approach to solving ill-conditioned matrix problems
• Accurate Sum and Dot Product

This page was built for publication: Parametric inverse of severely ill-conditioned Hermitian matrices in signal processing