Parameterisable QR core

G Lightbody, R. Walke, R. Woods, J. McCanny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The design of a generic QR core for adaptive beamforming is presented. The work relies on an existing mapping technique that can be applied to a triangular QR array in such a way to allow the generation of a range of QR architectures. All scheduling of data inputs and retiming to include processor latency has been included within the generic representation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages120-124
Number of pages5
Volume1
DOIs
Publication statusPublished - 24 Oct 1999
EventThirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999 - Pacific Grove, CA, USA
Duration: 24 Oct 1999 → …

Conference

ConferenceThirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999
Period24/10/99 → …

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Beamforming
Scheduling

Cite this

Lightbody, G., Walke, R., Woods, R., & McCanny, J. (1999). Parameterisable QR core. In Unknown Host Publication (Vol. 1, pp. 120-124) https://doi.org/10.1109/ACSSC.1999.832307
Lightbody, G ; Walke, R. ; Woods, R. ; McCanny, J. / Parameterisable QR core. Unknown Host Publication. Vol. 1 1999. pp. 120-124
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abstract = "The design of a generic QR core for adaptive beamforming is presented. The work relies on an existing mapping technique that can be applied to a triangular QR array in such a way to allow the generation of a range of QR architectures. All scheduling of data inputs and retiming to include processor latency has been included within the generic representation.",
author = "G Lightbody and R. Walke and R. Woods and J. McCanny",
note = "Reference text: [1] S. Haykin, Adaptive Filter Theory. Prentice Hall: Englewocd Cliffs, NJ, 1986 [2] N. Kalouptsidis & S. Theodoridis, Adaptive System Identification and signal processing, Prentice Hall: Englewood Cliffs, NJ 1993. [3] W. Givens, “Cornputation of plane unitary rotations transforming a general matrix to triangular form{"} J. SOC. Ind. [4] W.M. Gentleman and H. T. Kung, “Matrix triangulisation by systolic array”, Proc. SPIE, (Real-Time Signal Processing [5] J.G. McWhirter, “Recursive least squares minimisation using systolic array”, Proc. SPIE (Real-Time Signal Processing [6] R. Dohler, “Squared Given’s Rotations”, J. of Numerical Analysis, Vol. II, pp. 1-5, 199 1 [7] R.Walke, High Sample Rate Givens Rotationsfor Recursive Least Squares, PhD Thesis, University of Warwick, 1997 [8] G. Lightbody, R. Wake, R. Woods, J. McCanny, “Rapid design of a single chip adaptwe beamformer‘’, IEEE Proc. on Signal Processing Systems, pp. 285-294, 1998. [9] C.M. Radar “VLSI systolic arrays for adaptive nulling“, IEEE Signal Processing Magazine, Vol. 13, No. 4, pp. 2949, July 1996.",
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Lightbody, G, Walke, R, Woods, R & McCanny, J 1999, Parameterisable QR core. in Unknown Host Publication. vol. 1, pp. 120-124, Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999, 24/10/99. https://doi.org/10.1109/ACSSC.1999.832307

Parameterisable QR core. / Lightbody, G; Walke, R.; Woods, R.; McCanny, J.

Unknown Host Publication. Vol. 1 1999. p. 120-124.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lightbody G, Walke R, Woods R, McCanny J. Parameterisable QR core. In Unknown Host Publication. Vol. 1. 1999. p. 120-124 https://doi.org/10.1109/ACSSC.1999.832307