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Transfer function

About: Transfer function is a research topic. Over the lifetime, 14362 publications have been published within this topic receiving 214983 citations. The topic is also known as: system function & network function.


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Journal ArticleDOI
TL;DR: In this article, the authors investigated the consequences of maximizing information transfer in a simple neural network (one input layer, one output layer), focusing on the case of nonlinear transfer functions, and they showed that maximization of information leads to a factorial code-hence to the same solution as required by the redundancy reduction principle of Barlow.
Abstract: We investigate the consequences of maximizing information transfer in a simple neural network (one input layer, one output layer), focusing on the case of nonlinear transfer functions. We assume that both receptive fields (synaptic efficacies) and transfer functions can be adapted to the environment. The main result is that, for bounded and invertible transfer functions, in the case of a vanishing additive output noise, and no input noise, maximization of information (Linsker's infomax principle) leads to a factorial code-hence to the same solution as required by the redundancy-reduction principle of Barlow. We also show that this result is valid for linear and, more generally, unbounded, transfer functions, provided optimization is performed under an additive constraint, i.e. which can be written as a sum of terms, each one being specific to one output neuron. Finally, we study the effect of a non-zero input noise. We find that, to first order in the input noise, assumed to be small in comparison with th...

267 citations

Proceedings ArticleDOI
10 Dec 2002
TL;DR: In this paper, an echo-based model is used to determine the transfer function for communication signals in the frequency range of 1 MHz-30 MHz, where the power line is first approximated as a two-wire transmission line.
Abstract: This paper presents a novel approach to modelling the transfer function of the broadband power line communication channel. In the approach, the power line is firstly approximated as a two-wire transmission line. The two intrinsic line parameters, the characteristic impedance and the propagation constant, are derived based on the transmission line theory. Then from the derived line parameters, an echo-based model is used to determine the transfer function for communication signals in the frequency range of 1 MHz-30 MHz. This approach reaps the advantages of accuracy and simplicity of the conventional modeling approaches.

267 citations

Journal ArticleDOI
TL;DR: A computer-aided design (CAD) method and associated architectures are proposed for linear controllers based on recent results that parameterize all controllers that stabilize a given plant.
Abstract: A computer-aided design (CAD) method and associated architectures are proposed for linear controllers. The design method and architecture are based on recent results that parameterize all controllers that stabilize a given plant. With this architecture, the design of controllers is a convex programming problem that can be solved numerically. Constraints on the closed-loop system, such as asymptotic tracking, decoupling, limits on peak excursions of variables, step response, settling time, and overshoot, as well as frequency-domain inequalities, are readily incorporated in the design. The minimization objective is quite general, with LQG (linear quadratic Gaussian) H/sub infinity / and new l/sub 1/ types as special cases. The constraints and objective are specified in a control specification language which is natural for the control engineer, referring directly to step responses, noise powers, transfer functions, and so on. >

263 citations

Journal ArticleDOI
TL;DR: In this paper, a unified model is established for a current-programmed power converter, which is both a modification and an extension of familiar models, and the resulting final double-slope asymptote is fixed in position and the crossover frequency cannot exceed half the switching frequency.
Abstract: A unified model is established for a current-programmed power converter, which is both a modification and an extension of familiar models. Inclusion of the sampling effect allows the presence of an additional pole /spl omega//sub p/ in the current-loop gain to be derived. The resulting final double-slope asymptote is fixed in position, and the crossover frequency cannot exceed half the switching frequency. A stability parameter, Q/sub s/, determines the additional pole and describes the degree of peaking in the closed-loop transfer function. Experimental verification employs an analog signal injection technique. >

262 citations

Journal ArticleDOI
Izuru Takewaki1
TL;DR: In this article, the authors proposed an efficient and systematic procedure for finding the optimal damper placement to minimize the sum of amplitudes of the transfer functions evaluated at the undamped fundamental natural frequency of a structural system subject to a constraint on the damping coefficients of added dampers.
Abstract: The purpose of this paper is to propose an efficient and systematic procedure for finding the optimal damper placement to minimize the sum of amplitudes of the transfer functions evaluated at the undamped fundamental natural frequency of a structural system subject to a constraint on the sum of the damping coefficients of added dampers. Optimality criteria are derived and the optimal damper placement is determined based upon those criteria without any indefinite iterative operation. The present procedure can be applied to any structural system so far as it can be modelled with finite-element systems. The present procedure also enables one to treat structural systems with an arbitrary damping system (for example, proportional or non-proportional) in a unified manner. Due to employment of a general dynamical property, i.e. the amplitude of a transfer function, the results are general and are not influenced by characteristics of input motions. © 1997 John Wiley & Sons, Ltd.

262 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023351
2022810
2021329
2020421
2019461
2018493