Publication detail

On Validity of Results of Approximate Symbolic Analysis

KOLKA, Z. BIOLKOVÁ, V. BIOLEK, D.

Original Title

On Validity of Results of Approximate Symbolic Analysis

English Title

On Validity of Results of Approximate Symbolic Analysis

Type

conference paper

Language

en

Original Abstract

The paper studies the validity of results obtained using approximate symbolic analysis in the AC domain regarding the variation of network parameters. Traditional methods provide solutions based on nominal network parameters with no control over the approximation error when the parameters are varied. The method presented is based on the corner analysis that can be embedded in both the circuit and the formula simplification procedures. The properties of the method are demonstrated on an example analysis.

English abstract

The paper studies the validity of results obtained using approximate symbolic analysis in the AC domain regarding the variation of network parameters. Traditional methods provide solutions based on nominal network parameters with no control over the approximation error when the parameters are varied. The method presented is based on the corner analysis that can be embedded in both the circuit and the formula simplification procedures. The properties of the method are demonstrated on an example analysis.

Keywords

symbolic analysis; symbolic simplification; linear circuits; filters

Released

10.10.2018

Publisher

IEEE

Location

Liptovský Mikuláš, Slovensko

ISBN

978-80-8040-547-2

Book

2018 New Trends in Signal Processing (NTSP)

Pages from

90

Pages to

93

Pages count

4

URL

BibTex


@inproceedings{BUT151075,
  author="Zdeněk {Kolka} and Viera {Biolková} and Dalibor {Biolek}",
  title="On Validity of Results of Approximate Symbolic Analysis",
  annote="The paper studies the validity of results obtained using approximate symbolic analysis in the AC domain regarding the variation of network parameters. Traditional methods provide solutions based on nominal network parameters with no control over the approximation error when the parameters are varied. The method presented is based on the corner analysis that can be embedded in both the circuit and the formula simplification procedures. The properties of the method are demonstrated on an example analysis.",
  address="IEEE",
  booktitle="2018 New Trends in Signal Processing (NTSP)",
  chapter="151075",
  doi="10.23919/NTSP.2018.8524081",
  howpublished="electronic, physical medium",
  institution="IEEE",
  number="1",
  year="2018",
  month="october",
  pages="90--93",
  publisher="IEEE",
  type="conference paper"
}