High-speed CORDIC based parallel weight extraction for QRD-RLS adaptive filtering

Jun Ma; Keshab K Parhi; Ed F. Deprettere

High-speed CORDIC based parallel weight extraction for QRD-RLS adaptive filtering

Jun Ma
, Keshab K Parhi
, Ed F. Deprettere

Electrical and Computer Engineering

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

6 Scopus citations

Abstract

In this paper, a very high-speed Cordic based parallel weight extraction algorithm for QRD-RLS adaptive filtering is developed using the matrix lookahead technique. The algorithm is based on inverse updating and is pipelined at fine-grain level. The proposed architecture can be operated at arbitrarily high sample rates, and consists of only Givens rotations which can be mapped onto a Jacobi specific dataflow processor. It requires a complexity of O(Mp²) Givens rotations per sample period, where p is the size of the input data samples, and M is the pipelining level.

Original language	English (US)
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	5
State	Published - Jan 1 1998

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title = "High-speed CORDIC based parallel weight extraction for QRD-RLS adaptive filtering",

abstract = "In this paper, a very high-speed Cordic based parallel weight extraction algorithm for QRD-RLS adaptive filtering is developed using the matrix lookahead technique. The algorithm is based on inverse updating and is pipelined at fine-grain level. The proposed architecture can be operated at arbitrarily high sample rates, and consists of only Givens rotations which can be mapped onto a Jacobi specific dataflow processor. It requires a complexity of O(Mp2) Givens rotations per sample period, where p is the size of the input data samples, and M is the pipelining level.",

author = "Jun Ma and Parhi, \{Keshab K\} and Deprettere, \{Ed F.\}",

year = "1998",

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language = "English (US)",

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journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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T1 - High-speed CORDIC based parallel weight extraction for QRD-RLS adaptive filtering

AU - Ma, Jun

AU - Parhi, Keshab K

AU - Deprettere, Ed F.

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Y1 - 1998/1/1

N2 - In this paper, a very high-speed Cordic based parallel weight extraction algorithm for QRD-RLS adaptive filtering is developed using the matrix lookahead technique. The algorithm is based on inverse updating and is pipelined at fine-grain level. The proposed architecture can be operated at arbitrarily high sample rates, and consists of only Givens rotations which can be mapped onto a Jacobi specific dataflow processor. It requires a complexity of O(Mp2) Givens rotations per sample period, where p is the size of the input data samples, and M is the pipelining level.

AB - In this paper, a very high-speed Cordic based parallel weight extraction algorithm for QRD-RLS adaptive filtering is developed using the matrix lookahead technique. The algorithm is based on inverse updating and is pipelined at fine-grain level. The proposed architecture can be operated at arbitrarily high sample rates, and consists of only Givens rotations which can be mapped onto a Jacobi specific dataflow processor. It requires a complexity of O(Mp2) Givens rotations per sample period, where p is the size of the input data samples, and M is the pipelining level.

UR - https://www.scopus.com/pages/publications/0031622526

UR - https://www.scopus.com/pages/publications/0031622526#tab=citedBy

M3 - Article

AN - SCOPUS:0031622526

SN - 0271-4310

VL - 5

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

ER -

High-speed CORDIC based parallel weight extraction for QRD-RLS adaptive filtering

Abstract

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