Detail publikace

Symbolic Analysis with Circuit Decomposition

Originální název

Symbolic Analysis with Circuit Decomposition

Anglický název

Symbolic Analysis with Circuit Decomposition

Jazyk

en

Originální abstrakt

This paper deals with computational complexity of approximate symbolic analysis. A method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits is proposed. The method is based on gradual simplification of a block-decomposed circuit model in the frequency domain. The simplified model is then analyzed symbolically. The algorithm has been developed with the aim of obtaining maximum computational efficiency.

Anglický abstrakt

This paper deals with computational complexity of approximate symbolic analysis. A method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits is proposed. The method is based on gradual simplification of a block-decomposed circuit model in the frequency domain. The simplified model is then analyzed symbolically. The algorithm has been developed with the aim of obtaining maximum computational efficiency.

BibTex


@inproceedings{BUT15409,
  author="Zdeněk {Kolka}",
  title="Symbolic Analysis with Circuit Decomposition",
  annote="This paper deals with computational complexity of approximate symbolic analysis. A method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits is proposed. The method is based on gradual simplification of a block-decomposed circuit model in the frequency domain. The simplified model is then analyzed symbolically. The algorithm has been developed with the aim of obtaining maximum computational efficiency.
",
  address="Brno University of Technology",
  booktitle="Proc. of Radioelektronika’2005",
  chapter="15409",
  institution="Brno University of Technology",
  year="2005",
  month="april",
  pages="432",
  publisher="Brno University of Technology",
  type="conference paper"
}