Pipelined RLS adaptive architecture using relaxed givens rotations (RGR)

Lan-Da Van; Chih Hong Chang

doi:10.1109/ISCAS.2002.1009771

Pipelined RLS adaptive architecture using relaxed givens rotations (RGR)

Lan-Da Van, Chih Hong Chang

Institute of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this paper, we focus on developing a new relaxed Givens rotations (RGR)-RLS algorithm and the corresponding RGR-RLS systolic array. The resulting algorithm and architecture posses fine-grain pipelining, nearly the same convergence as the QRD-RLS, good robustness for λ, and square-root free computation with a little area overhead.

Original language	English
Pages (from-to)	37-40
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	1
DOIs	https://doi.org/10.1109/ISCAS.2002.1009771
State	Published - 2002

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10.1109/ISCAS.2002.1009771

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title = "Pipelined RLS adaptive architecture using relaxed givens rotations (RGR)",

abstract = "In this paper, we focus on developing a new relaxed Givens rotations (RGR)-RLS algorithm and the corresponding RGR-RLS systolic array. The resulting algorithm and architecture posses fine-grain pipelining, nearly the same convergence as the QRD-RLS, good robustness for λ, and square-root free computation with a little area overhead.",

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AU - Chang, Chih Hong

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AB - In this paper, we focus on developing a new relaxed Givens rotations (RGR)-RLS algorithm and the corresponding RGR-RLS systolic array. The resulting algorithm and architecture posses fine-grain pipelining, nearly the same convergence as the QRD-RLS, good robustness for λ, and square-root free computation with a little area overhead.

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U2 - 10.1109/ISCAS.2002.1009771

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M3 - Article

AN - SCOPUS:0036280704

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VL - 1

SP - 37

EP - 40

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

ER -

Pipelined RLS adaptive architecture using relaxed givens rotations (RGR)

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