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The systolic design of a block regularised parameter estimator using hierarchical signal flow graphs

Authors: D. W. Brown; Fiona M. F. Gaston;

The systolic design of a block regularised parameter estimator using hierarchical signal flow graphs

Abstract

Hierarchical Signal Flow Graphs (HSFGs) am used to illustrate the computations and the data flow required for the block regularised parameter estimation algorithm. This algorithm protects the parameter estimation from numerical difficulties associated with insufficiently exciting data or where the behaviour of the underlying model is unknown. Hierarchical signal flow graphs (HSFGs) aid the user's understanding of the algorithm as they clearly show how the algorithm differs from exponentially weighted recursive least squares, but also allow the user to develop fast efficient parallel algorithms easily and effectively, as demonstrated.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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