Detail publikace

An Accurate Sparse-Matrix Semisymbolic Algorithm for Analyzing Distributed Microwave Circuits

Originální název

An Accurate Sparse-Matrix Semisymbolic Algorithm for Analyzing Distributed Microwave Circuits

Anglický název

An Accurate Sparse-Matrix Semisymbolic Algorithm for Analyzing Distributed Microwave Circuits

Jazyk

en

Originální abstrakt

An optimal pivoting strategy for the reduction algorithm transforming the general eigenvalue problem to the standard one is presented for both full- and sparse-matrix procedures. The algorithm increases the precision of the semisymbolic analysis especially for the large-scale microwave circuits. The accuracy is furthermore increased using longer numerical data. First, the long double precision is utilized. Further, the application of a suitable multiple-precision arithmetic library is suggested. Finally, using the longer numerical data to eliminate possible imprecision of the multiple eigenvalues is evaluated. The algorithm is demonstrated by estimating the frequency of a distributed microwave oscillator, and by estimating the bandwidth of a distributed microwave amplifier.

Anglický abstrakt

An optimal pivoting strategy for the reduction algorithm transforming the general eigenvalue problem to the standard one is presented for both full- and sparse-matrix procedures. The algorithm increases the precision of the semisymbolic analysis especially for the large-scale microwave circuits. The accuracy is furthermore increased using longer numerical data. First, the long double precision is utilized. Further, the application of a suitable multiple-precision arithmetic library is suggested. Finally, using the longer numerical data to eliminate possible imprecision of the multiple eigenvalues is evaluated. The algorithm is demonstrated by estimating the frequency of a distributed microwave oscillator, and by estimating the bandwidth of a distributed microwave amplifier.

BibTex


@inproceedings{BUT18960,
  author="Josef {Dobeš} and Dalibor {Biolek} and Jan {Míchal}",
  title="An Accurate Sparse-Matrix Semisymbolic Algorithm for Analyzing Distributed Microwave Circuits",
  annote="An optimal pivoting strategy for the reduction
algorithm transforming the general eigenvalue problem to the standard one is presented for both full- and sparse-matrix procedures. The algorithm increases the precision of the semisymbolic analysis especially for the large-scale microwave circuits. The accuracy is furthermore increased using longer numerical
data. First, the long double precision is utilized. Further, the application of a suitable multiple-precision arithmetic library is suggested. Finally, using the longer numerical data to eliminate possible imprecision of the multiple eigenvalues is evaluated. The algorithm is demonstrated by estimating the frequency of a distributed microwave oscillator, and by estimating the bandwidth of a distributed microwave amplifier.",
  address="IEEE",
  booktitle="MWSCAS 2006 Proceedings of the 49th IEEE International Midwest Symposium on Circuits and Systems",
  chapter="18960",
  institution="IEEE",
  year="2006",
  month="august",
  pages="204--208",
  publisher="IEEE",
  type="conference paper"
}