Parameterisable QR core

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

doi:10.1109/ACSSC.1999.832307

Parameterisable QR core

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

Faculty Of Computing, Eng. & Built Env.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

138 Downloads (Pure)

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	120-124
Number of pages	5
Volume	1
ISBN (Print)	0-7803-5700-0
DOIs	https://doi.org/10.1109/ACSSC.1999.832307
Publication status	Published (in print/issue) - 24 Oct 1999
Event	Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999 - Pacific Grove, CA, USA Duration: 24 Oct 1999 → …

Conference

Conference	Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999
Period	24/10/99 → …

Bibliographical 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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ParameterisableQRCoreFinal published version, 492 KB

Cite this

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title = "Parameterisable QR core",

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{\textquoteright}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{\textquoteleft}{\textquoteright}, 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.; Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999 ; Conference date: 24-10-1999",

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N1 - 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.

PY - 1999/10/24

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N2 - 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.

AB - 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.

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PB - IEEE

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Y2 - 24 October 1999

ER -

Parameterisable QR core

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Bibliographical note

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