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QRD-RLS adaptive filtering by Marcello L.R. de Campos, Gilbert Strang (auth.), José Antonio Apolinário (eds.) is a nonfiction available to read on EtoBox.

What is QRD-RLS adaptive filtering about?

__QRD-RLS Adaptive Filtering__ covers some of the most recent developments as well as the basic concepts for a complete understanding of the QRD-RLS-based adaptive filtering algorithms. It presents this research with a clear historical perspective which highlights the underpinning theory and common motivating factors that have shaped the subject. The material is divided into twelve chapters, going from fundamentals to more advanced aspects. Different algorithms are derived and presented, including basic, fast, lattice, multichannel and constrained versions. Important issues, such as numerical stability, performance in finite precision environments and VLSI oriented implementations are also addressed. All algorithms are derived using Givens rotations, although one chapter deals with implementations using Householder reflections. __QRD-RLS Adaptive Filtering__ is a useful reference for engineers and academics in the field of adaptive filtering.

Who reads QRD-RLS adaptive filtering?

Author

Marcello L.R. de Campos, Gilbert Strang (auth.), José Antonio Apolinário (eds.)

Publisher

Springer US

Published

2009

Language

EN

ISBN

9780387097343

Category

nonfiction

Subjects

Mathematics, Engineering, Science