QRD-RLS Adaptive Filtering Softcover reprint of hardcover 1st ed. 2009 Edition

From the reviews:

“Starting with a review of the history and the essential concepts in (numerical) linear algebra that are essential in the development of QR decomposition, the book continues with an overview of adaptive filtering techniques, including LMS and RLS algorithms. … The chapters flow on nicely from one to the other, and the editor is to be congratulated on achieving this. The book is a useful and welcome contribution to the broad topic of numerical linear algebra.” (Andrew Dale, Zentralblatt MATH, Vol. 1170, 2009)

QRD-RLS Adaptive Filtering Softcover reprint of hardcover 1st ed. 2009 Edition 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 Softcover reprint of hardcover 1st ed. 2009 Edition is a useful reference for engineers and academics in the field of adaptive filtering.