nonlinear network

nonlinear network

[′nän‚lin·ē·ər ′net‚wərk]
(electricity)
A network in which the current or voltage in any element that results from two sources of energy acting together is not equal to the sum of the currents or voltages that result from each of the sources acting alone.
References in periodicals archive ?
Within a nonlinear network, the system gain, the derivative of a controlled variable to its corresponding control input, varies under different operating conditions.
Interestingly, in constructing proposed lossy nonlinear network we were motivated with a very interesting example of nanobioelectronics problem.
Jacobian for the nonlinear network is more complex so isn't shown.
In Chapter 2, nonlinear measurements are covered: load/source pull, vector nonlinear network analyzer and pulse measurements.
Thus, conventional linear network analysis, which relies on the assumption of superposition, must be replaced by a more general type of analysis, which we refer to as nonlinear network analysis.
X-parameters represent an entirely new category of nonlinear network parameters for high-frequency design.
apply an unsupervised learning algorithm to learn language-independent stroke feature and combine unsupervised stroke feature learning together with automatically multilayer feature extraction to improve the representational power of text feature and develop a novel nonlinear network based on traditional Convolutional Neural Network that enables detecting multilingual text regions in the images.
Using the above principle, the generalized lossy nonlinear network can be redrawn as shown in Fig.
Using the above principle, the generalized lossy nonlinear network can be redrawn as shown in Figure 3 where the current source representation has been used.
For example, an X-parameter* playlist takes customers to videos featuring Agilent's X-parameter technology -- a new category of nonlinear network parameters for high-frequency design.
A nonlinear network analyzer combined with an active multiharmonic load-pull system is described.
Planned topics include front-to-back MMIC design flow including nonlinear parameter extraction, nonlinear network analysis, wideband signal analysis, and simulation and design of software-defined radios.
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