Detail publikace

Algorithmic s-z Transformations for Continuous-Time to Discrete-Time Filter Conversion

Originální název

Algorithmic s-z Transformations for Continuous-Time to Discrete-Time Filter Conversion

Anglický název

Algorithmic s-z Transformations for Continuous-Time to Discrete-Time Filter Conversion

Jazyk

en

Originální abstrakt

This contribution introduces a so-called generalized Pascal matrix. Using this matrix, the coefficients of transfer functions of the continuous-time and discrete-time linear circuits can be converted on the assumption that both circuits are related by a general first-order s-z transformation. We explain the effective numerical procedure of computing all matrix elements for arbitrary first-order s-z transformation.

Anglický abstrakt

This contribution introduces a so-called generalized Pascal matrix. Using this matrix, the coefficients of transfer functions of the continuous-time and discrete-time linear circuits can be converted on the assumption that both circuits are related by a general first-order s-z transformation. We explain the effective numerical procedure of computing all matrix elements for arbitrary first-order s-z transformation.

BibTex


@inproceedings{BUT6860,
  author="Dalibor {Biolek} and Viera {Biolková}",
  title="Algorithmic s-z Transformations for Continuous-Time to Discrete-Time Filter Conversion",
  annote="This contribution introduces a so-called generalized Pascal matrix. Using this matrix, the coefficients of transfer functions of the continuous-time and discrete-time linear circuits can be converted on the assumption that both circuits are related by a general first-order s-z transformation. We explain the effective numerical procedure of computing all matrix elements for arbitrary first-order s-z transformation.",
  address="IEEE",
  booktitle="Proceedings of the IEEE International Symposium on Circuits and SystemsISCAS'01",
  chapter="6860",
  institution="IEEE",
  year="2001",
  month="january",
  pages="588",
  publisher="IEEE",
  type="conference paper"
}