| Collins, S., Brown, D.R. and Marshall, G.F., "An Analogue Vector Matching Architecture", Analog Integrated Circuits and Signal Processing, Vol. 8, 1995, pp.247-257. |
....to an input vector V i , in the sense that among a finite set of reference vectors, the least distant one from the input is the most similar to the input. Therefore Euclidean distance is useful in several classification algorithms such as vector quantization and nearest neighbour classification [1]. VLSI hardware implementations of such algorithms in order to achieve speed up, are also accompanied with several constraints, the dominant of them being the area constraint, power dissipation and modularity. The area constraint is fulfilled by choosing analogue VLSI implementations since, ....
Collins, S., Brown, D.R. and Marshall, G.F., "An Analogue Vector Matching Architecture", Analog Integrated Circuits and Signal Processing, Vol. 8, 1995, pp.247-257.
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