A unified square-root-free approach for QRD-based recursive-least-squares estimation
Copyright policy ) Hsieh, S. F.; Liu, K. J. R.; Yao, K.;
A unified square-root-free approach for QRD-based recursive-least-squares estimation
The generic formula for the Givens rotation, the most commonly used method for QR-decomposition (QRD) updating, requires explicit square-root (sqrt) computations, which constitute a computational bottleneck. A unified systematic approach for sqrt-free Givens rotations is provided. By properly choosing two parameters, all previously known, as well as new, sqrt-free methods are included in the unified approach. This unified treatment is also extended to the QRD-based recursive-least-squares (RLS) problem for optimum residual acquisition without sqrt operations. >
- University of Maryland, College Park United States
- University of California, Los Angeles United States
- University of Maryland, College Park United States
- Systems Engineering Research Center United States
- National Chiao Tung University Taiwan
Least squares and related methods for stochastic control systems
Least squares and related methods for stochastic control systems
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 39
Top 10%
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