Detail publikace

Method of Segmented Wavelet Transform for Real-time Signal Processing

Originální název

Method of Segmented Wavelet Transform for Real-time Signal Processing

Anglický název

Method of Segmented Wavelet Transform for Real-time Signal Processing

Jazyk

en

Originální abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute the discrete-time wavelet transform of a signal segment-by-segment. This means that the method could be utilized for wavelet-type processing of a signal in real time, or in case we need to process a long signal (not necessarily in real time), but there is insufficient computational memory capacity for it (for example in the signal processors). Then it is possible to process the signal part-by-part with low memory costs by the new method. The method is suitable for universal utilization in places where the signal has to be processed via modification of its wavelet coefficients (e.g. signal denoising, compression, music or speech processing, alternative modulation techniques for xDSL systems). In the paper, the principle of the segmented forward wavelet transform is described.

Anglický abstrakt

The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute the discrete-time wavelet transform of a signal segment-by-segment. This means that the method could be utilized for wavelet-type processing of a signal in real time, or in case we need to process a long signal (not necessarily in real time), but there is insufficient computational memory capacity for it (for example in the signal processors). Then it is possible to process the signal part-by-part with low memory costs by the new method. The method is suitable for universal utilization in places where the signal has to be processed via modification of its wavelet coefficients (e.g. signal denoising, compression, music or speech processing, alternative modulation techniques for xDSL systems). In the paper, the principle of the segmented forward wavelet transform is described.

Dokumenty

BibTex


@inproceedings{BUT17405,
  author="Pavel {Rajmic} and Jan {Vlach}",
  title="Method of Segmented Wavelet Transform for Real-time Signal Processing",
  annote="The new method of segmented wavelet transform (SegWT) makes it possible to exactly compute the discrete-time wavelet transform of a signal segment-by-segment. This means that the method could be utilized for wavelet-type processing of a signal in real
time, or in case we need to process a long signal (not necessarily in real time), but there is insufficient computational memory capacity for it (for example in the signal processors). Then it is possible to process the signal part-by-part with low memory costs
by the new method. The method is suitable for universal utilization in places where the signal has to be processed via modification of its wavelet coefficients (e.g. signal denoising, compression, music or speech processing, alternative modulation techniques for xDSL
systems). In the paper, the principle of the segmented forward wavelet transform is described.",
  address="ČVUT v Praze",
  booktitle="Proceedings of Audio Technologies and Processing, ATP 2005",
  chapter="17405",
  institution="ČVUT v Praze",
  year="2005",
  month="may",
  pages="36",
  publisher="ČVUT v Praze",
  type="conference paper"
}