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QR-Decomposition-Based RLS Filters

1997
The application of QR decomposition [1] to triangularize the input data matrix results in an alternative method for the implementation of the recursive least-squares (RLS) method previously discussed. The main advantages brought about by the recursive least-squares algorithm based on QR decomposition are its possible implementation in systolic arrays ...
openaire   +1 more source

The backward rounding error analysis of the quaternion Givens QR decomposition

Numerical Algorithms
Fengxia Zhang   +3 more
semanticscholar   +1 more source

QR decomposition of dual quaternion matrix and blind watermarking scheme

Numerical Algorithms
Mingcui Zhang   +3 more
semanticscholar   +1 more source

Computation of outer inverses of tensors using the QR decomposition

Computational and Applied Mathematics, 2020
J. Sahoo   +3 more
semanticscholar   +1 more source

Linear Models and QR Decomposition

2000
A common problem in statistics is that of estimating parameters of some assumed relationship between one or more variables. One such relationship is where y is the dependent (endogenous, explained) variable and a1 … a n ) are the independent (exogenous, explanatory) variables.
openaire   +1 more source

A novel efficient Rank-Revealing QR matrix and Schur decomposition method for big data mining and clustering (RRQR-SDM)

Information Sciences
D. Paulraj   +6 more
semanticscholar   +1 more source

Spinodal decomposition and the pseudo-binary decomposition in high-entropy alloys

Acta Materialia, 2023
Hengwei Luan   +2 more
exaly  

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