Analogue CMOS vector normalisation circuit

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Analogue CMOS vector normalisation circuit

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A novel CMOS analogue circuit is proposed, which can be used to perform vector normalisation with respect to a Euclidean measure, with a bias circuit for all inputs and only four transistors per input. It is very fast, with < 1% linearity error over a decade of the norm of the input vector.

Inspec keywords: analogue processing circuits; CMOS analogue integrated circuits

Other keywords: bias circuit; Euclidean measure; four-transistor cell; analogue CMOS vector normalisation circuit; linearity error

Subjects: CMOS integrated circuits; Analogue processing circuits

References

    1. 1)
      • T. Frank , K.-F. Kraiss , T. Kuhlen . Comparative analysis of fuzzy ART and ART-2A network clustering performance. IEEE Trans. , 3 , 544 - 559
    2. 2)
      • Z. Wang . Novel voltage-controlled grounded resistor. Electron. Lett. , 20 , 1711 - 1712
    3. 3)
      • T.G. Morris , S.P. Deweerth . Analog VLSI excitatory feedback circuits for attentional shifts and tracking. Analog Integ. Circuits Signal Process. , 79 - 91
    4. 4)
      • J. Cao , M. Ahmadi , M. Shridhar . Handwritten numeral and machine printed multiple font character recognitionusing neural network classifier. J. Circuits, Syst. Comput. , 6 , 569 - 580
    5. 5)
      • P.K. Simpson , E. Sanchez-Sinencio , C. Lau . (1992) Foundations of neural networks, Artificial neural networks: Paradigms, applications and hardware implementations.
    6. 6)
      • W. Kaminski , P. Strummilo . Kernel orthonormalization in radial basis function neural networks. IEEE Trans. , 5 , 1177 - 1183
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