Efficient hardware architectures for eigenvector and signal subspace estimation

Fan Xu

doi:10.1109/TCSI.2003.822406

2004-03-01

PRE

Fan Xu

A.N. Willson

DOI：10.1109/TCSI.2003.822406

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摘要

En 中文

We consider hardware solutions to the adaptive-signal subspace-estimation problem. In deriving a hardware-realizable subspace tracking algorithm, we have applied delayed updating to the PASTd algorithm to achieve high speed, Pipelined and systolic architectures and the estimation of the dominant eigenvector or the signal subspace are also studied. Methods for approximating a reciprocal computations are employed and simulation results are presented to validate our algorithm and hardware architectures.

Keyword:

adaptive filters

eigenvector

pipeline

subspace tracking

systolic

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IEEE Transactions on Circuits and Systems I-Regular Papers

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5.2

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9.9K

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2.2W

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