1992Unpublished venueRequires access

SYMBOLIC ANALYSIS METHODS AND APPLICATIONS

Georges Gielen, Departement Elektrotechniek

Open publisher page 0 citations

Abstract

This tutorial paper outlines the state of the art in symbolic analysis. Symbolic analysis is defined as a technique providing closed-form analytic information complementary to numerical simulation results. The different application areas of symbolic analysis in the analog design world are then discussed. Symbolic analysis is mainly used as a means to obtain insight into circuit behavior, to generate analytic models for automated circuit sizing and in applications requiring repetitive evaluation of characteristics. The present capabilities and limitations of symbolic analysis, both in functionality and efficiency, are then discussed. The major analysis methods are presented, and algorithmic details are provided for symbolic approximation, hierarchical decomposition and symbolic distortion analysis. Finally, existing symbolic simulators are compared, and directions for future research are pointed out.

About this research paper

What this paper is about

This tutorial paper outlines the state of the art in symbolic analysis. Symbolic analysis is defined as a technique providing closed-form analytic information complementary to numerical simulation results. The different application areas of symbolic analysis in the analog design world are then discussed. Symbolic analysis is mainly used as a means to obtain insight into circuit behavior, to generate analytic models for automated circuit sizing and in applications requiring repetitive evaluation of characteristics. The present capabilities and limitations of symbolic analysis, both in functionality and efficiency, are then discussed. The major analysis methods are presented, and algorithmic details are provided for symbolic approximation, hierarchical decomposition and symbolic distortion analysis. Finally, existing symbolic simulators are compared, and directions for future research are pointed out.

Why it matters

A significance statement is not available in the OpenAlex record.

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

This tutorial paper outlines the state of the art in symbolic analysis. Symbolic analysis is defined as a technique providing closed-form analytic information complementary to numerical simulation results. The different application areas of symbolic analysis in the analog design world are then discussed. Symbolic analysis is mainly used as a means to obtain insight into circuit behavior, to generate analytic models for automated circuit sizing and in applications requiring repetitive evaluation of characteristics. The present capabilities and limitations of symbolic analysis, both in functionality and efficiency, are then discussed. The major analysis methods are presented, and algorithmic details are provided for symbolic approximation, hierarchical decomposition and symbolic distortion analysis. Finally, existing symbolic simulators are compared, and directions for future research are pointed out.

Key concepts: Symbolic data analysis, Symbolic trajectory evaluation, The Symbolic, Computer science, Theoretical computer science, Network analysis, Decomposition, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
SYMBOLIC ANALYSIS METHODS AND APPLICATIONS — Research Paper | ScholarLens