Detail publikace

Computation complexity of time-frequency representation of signals.

Jiří Mišurec Ivan Koula

Originální název

Computation complexity of time-frequency representation of signals.

Anglický název

Computation complexity of time-frequency representation of signals.

Jazyk

en

Originální abstrakt

Multidimensional time-frequency representations of signals are images of changes in time of signal spectrum and thus play an important role when they are analysed and processed. There is a number of possible ways of time-frequency representation of signals. Their properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the frequency domain but also in the computation complexity during the realization. Today, rapid processing of great amounts of data in a very short period of time is often required. It is, above all, in systems processing signals in real time that minimum delay in processing the signal is of much concern and therefore it is important to tackle the problem of the computation complexity of the algorithms used.

Anglický abstrakt

Multidimensional time-frequency representations of signals are images of changes in time of signal spectrum and thus play an important role when they are analysed and processed. There is a number of possible ways of time-frequency representation of signals. Their properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the frequency domain but also in the computation complexity during the realization. Today, rapid processing of great amounts of data in a very short period of time is often required. It is, above all, in systems processing signals in real time that minimum delay in processing the signal is of much concern and therefore it is important to tackle the problem of the computation complexity of the algorithms used.

Dokumenty

BibTex


@inproceedings{BUT17648,
  author="Jiří {Mišurec} and Ivan {Koula}",
  title="Computation complexity of time-frequency representation of signals.",
  annote="Multidimensional time-frequency representations of signals are images of changes in time of signal spectrum and thus play an important role when they are analysed and processed. There is a number of possible ways of time-frequency representation of signals. Their properties depend on the transformation algorithm used, and they differ not only in the resolution of changes in the time and the frequency domain but also in the computation complexity during the realization. Today, rapid processing of great amounts of data in a very short period of time is often required. It is, above all, in systems processing signals in real time that minimum delay in processing the signal is of much concern and therefore it is important to tackle the problem of the computation complexity of the algorithms used.",
  address="WSEAS",
  booktitle="Applications of Electrical Engineering (AEE '05)",
  chapter="17648",
  howpublished="electronic, physical medium",
  institution="WSEAS",
  year="2005",
  month="march",
  pages="167--170",
  publisher="WSEAS",
  type="conference paper"
}