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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Seeking maximum linearity of transfer functions

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Author(s):
Silva, Filipi N. ; Comin, Cesar H. ; Costa, Luciano da F.
Total Authors: 3
Document type: Journal article
Source: Review of Scientific Instruments; v. 87, n. 12 DEC 2016.
Web of Science Citations: 2
Abstract

Linearity is an important and frequently sought property in electronics and instrumentation. Here, we report a method capable of, given a transfer function (theoretical or derived from some real system), identifying the respective most linear region of operation with a fixed width. This methodology, which is based on least squares regression and systematic consideration of all possible regions, has been illustrated with respect to both an analytical (sigmoid transfer function) and a simple situation involving experimental data of a low-power, one-stage class A transistor current amplifier. Such an approach, which has been addressed in terms of transfer functions derived from experimentally obtained characteristic surface, also yielded contributions such as the estimation of local constants of the device, as opposed to typically considered average values. The reported method and results pave the way to several further applications in other types of devices and systems, intelligent control operation, and other areas such as identifying regions of power law behavior. Published by AIP Publishing. (AU)

FAPESP's process: 15/18942-8 - Associating complex networks with effective feature spaces
Grantee:Cesar Henrique Comin
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 15/08003-4 - Complex network approach to e-Science and dynamic datasets
Grantee:Filipi Nascimento Silva
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants