Detail publikace

Optimized discrete wavelet transform to real-time digital signal processing

Originální název

Optimized discrete wavelet transform to real-time digital signal processing

Anglický název

Optimized discrete wavelet transform to real-time digital signal processing

Jazyk

en

Originální abstrakt

In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to process the signal part-by-part with low memory costs by the new method. In the paper, the principle and benefits of the segmented wavelet transform is explained.

Anglický abstrakt

In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to process the signal part-by-part with low memory costs by the new method. In the paper, the principle and benefits of the segmented wavelet transform is explained.

Dokumenty

BibTex


@article{BUT44076,
  author="Jan {Vlach} and Pavel {Rajmic} and Jiří {Přinosil} and Josef {Vyoral} and Ivan {Míča}",
  title="Optimized discrete wavelet transform to real-time digital signal processing",
  annote="In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is  necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to process the signal part-by-part with low memory costs by the new method. In the paper, the principle and benefits of the segmented wavelet transform is explained.",
  address="Springer",
  chapter="44076",
  institution="Springer",
  number="9",
  volume="2007",
  year="2007",
  month="september",
  pages="514--520",
  publisher="Springer",
  type="journal article in Web of Science"
}