2006 IEEE International Symposium on Circuits and Systems
DOI: 10.1109/iscas.2006.1693460
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A Low-voltage, Analog Power-law Function Generator

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Cited by 3 publications
(3 citation statements)
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“…(1) Only one or two functions can be realized at a time; see for example [1] for a sine function generator realization, [3] where the realization of a Gaussian function generator is proposed, [7] for the inverse sine and the inverse cosine functions realizations, [8] for the realization of exponential and logarithmic functions, [10] where the realization of a tangent hyperbolic sigmoid is proposed, [13] where a triangular/trapezoidal function generator is presented, [14] where a sinh resistor is proposed for tanh linearization, [16] which presents a power law function generation, [17] where a Gaussian/triangular basis functions computation circuit is proposed, [19] for a fully differential tanh function realization, [23] which presents a realization for the hyperbolic tangent sigmoid function, [24] where radial basis function circuits are presented and [25] for the realization of an inverse sine function realization. (2) Recourse to the use of piecewise linear approximations to approximate the required nonlinear function; for example in [5,6,15,20,22], where piecewise linear approximations are used to approximate, and whence, realize several nonlinear functions.…”
Section: Introductionmentioning
confidence: 99%
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“…(1) Only one or two functions can be realized at a time; see for example [1] for a sine function generator realization, [3] where the realization of a Gaussian function generator is proposed, [7] for the inverse sine and the inverse cosine functions realizations, [8] for the realization of exponential and logarithmic functions, [10] where the realization of a tangent hyperbolic sigmoid is proposed, [13] where a triangular/trapezoidal function generator is presented, [14] where a sinh resistor is proposed for tanh linearization, [16] which presents a power law function generation, [17] where a Gaussian/triangular basis functions computation circuit is proposed, [19] for a fully differential tanh function realization, [23] which presents a realization for the hyperbolic tangent sigmoid function, [24] where radial basis function circuits are presented and [25] for the realization of an inverse sine function realization. (2) Recourse to the use of piecewise linear approximations to approximate the required nonlinear function; for example in [5,6,15,20,22], where piecewise linear approximations are used to approximate, and whence, realize several nonlinear functions.…”
Section: Introductionmentioning
confidence: 99%
“…It is worth mentioning here that while the use of rational functions may lead to better approximations than Taylor series approximations, the circuit realizations of the former are usually more complicated than those of the later. (4) Recourse to digital signal processing techniques; see for example in [4] where the target function is sampled in a grid and the sampled values are encoded in a set of digital words, [6] where look-up tables, or piecewise-constant interpolators, are used to store all the output voltages corresponding to every possible input voltage, [10] where a microcontroller is used to calculate the tanh(x) function approximation obtained using a Taylor series expansion for exp(2x), [18] where digital signal processing is used to find the coefficients of a suitable Taylor series approximation, and [23] where a piecewise linear approximation is used to approximate the tanh function and [16], BiMOS [24] or MOSFETs operating either in the weak inversion region; see for example [3,4,8,12,14,22], or the moderate inversion region [13]. Usually this is done to exploit to advantage the exponential current-voltage characteristics of the transistors.…”
Section: Introductionmentioning
confidence: 99%
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