2002Unpublished venueRequires access

Applications of symbolic network analysis

Marina Ţopa, Emil Simion

Open publisher page 2 citations

Abstract

Symbolic network analysis is a formal technique, complementary to numerical analysis, to calculate the behaviour or a characteristic of a circuit with independent variable frequency, dependent variables voltages and currents and some or all of the circuit elements represented by symbols. The evaluation of the symbolic functions is much easier and faster than working repeatedly with a numerical simulator. A program for symbolic network analysis, of lumped linear or linearised time invariant circuits is presented. The network functions and their sensitivities with respect to the element values are computed with a matrix-based method, using symbolic manipulation of algebraic expressions. An interesting application of the symbolic network analysis is noise computation, one of the most difficult tasks that an analog engineer must perform. Symbolic expressions for the system noise measures are obtained.

About this research paper

What this paper is about

Symbolic network analysis is a formal technique, complementary to numerical analysis, to calculate the behaviour or a characteristic of a circuit with independent variable frequency, dependent variables voltages and currents and some or all of the circuit elements represented by symbols. The evaluation of the symbolic functions is much easier and faster than working repeatedly with a numerical simulator. A program for symbolic network analysis, of lumped linear or linearised time invariant circuits is presented. The network functions and their sensitivities with respect to the element values are computed with a matrix-based method, using symbolic manipulation of algebraic expressions. An interesting application of the symbolic network analysis is noise computation, one of the most difficult tasks that an analog engineer must perform. Symbolic expressions for the system noise measures are obtained.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Symbolic network analysis is a formal technique, complementary to numerical analysis, to calculate the behaviour or a characteristic of a circuit with independent variable frequency, dependent variables voltages and currents and some or all of the circuit elements represented by symbols. The evaluation of the symbolic functions is much easier and faster than working repeatedly with a numerical simulator. A program for symbolic network analysis, of lumped linear or linearised time invariant circuits is presented. The network functions and their sensitivities with respect to the element values are computed with a matrix-based method, using symbolic manipulation of algebraic expressions. An interesting application of the symbolic network analysis is noise computation, one of the most difficult tasks that an analog engineer must perform. Symbolic expressions for the system noise measures are obtained.

Key concepts: Symbolic data analysis, Symbolic trajectory evaluation, Symbolic computation, Computer science, Network analysis, The Symbolic, Computation, Electrical element

Related papers

Back to paper searchBrowse research topicsOriginal source
Applications of symbolic network analysis — Research Paper | ScholarLens