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Optimized discrete wavelet transform to real-time digital signal processing

  • Jan Vlach
  • Pavel Rajmic
  • Jiri Prinosil
  • Josef Vyoral
  • Ivan Mica
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 245)

Abstract

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 if the segmented wavelet transform is explained.

Keywords

Wireless Sensor Network Wavelet Coefficient Digital Signal Processing Discrete Wavelet Personal Wireless Communication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Jan Vlach
    • 1
  • Pavel Rajmic
    • 1
  • Jiri Prinosil
    • 1
  • Josef Vyoral
    • 1
  • Ivan Mica
    • 1
  1. 1.Faculty Electrical Engineering and Communication, Department of TelecommunicationsBrno University of TechnologyBrnoCzech Republic

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