Detail publikace

Real-time Audio Processing via Segmented Wavelet Transform

Originální název

Real-time Audio Processing via Segmented Wavelet Transform

Anglický název

Real-time Audio Processing via Segmented Wavelet Transform

Jazyk

en

Originální abstrakt

In audio applications it is often necessary to process the signal in "real time". The method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-by-segment, not using the classical "windowing". This means that the method could be utilized for wavelet type processing of an audio signal in real time, or alternatively in case we just need to process a long signal, but there is insufficient computational memory capacity for it (e.g. in the DSPs). In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.

Anglický abstrakt

In audio applications it is often necessary to process the signal in "real time". The method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-by-segment, not using the classical "windowing". This means that the method could be utilized for wavelet type processing of an audio signal in real time, or alternatively in case we just need to process a long signal, but there is insufficient computational memory capacity for it (e.g. in the DSPs). In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.

Dokumenty

BibTex


@inproceedings{BUT27875,
  author="Pavel {Rajmic} and Jan {Vlach}",
  title="Real-time Audio Processing via Segmented Wavelet Transform",
  annote="In audio applications it is often necessary to process the signal in "real time". The method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-by-segment, not using the classical "windowing". This means that the method could be utilized for wavelet type processing of an audio signal in real time, or alternatively in case we just need to process a long signal, but there is insufficient computational memory capacity for it (e.g. in the DSPs). In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.",
  address="University of Bordeaux 1",
  booktitle="Proceedings of the 10th International Conference on Digital Audio Effects (DAFx-07)",
  chapter="27875",
  howpublished="print",
  institution="University of Bordeaux 1",
  year="2007",
  month="september",
  pages="55--58",
  publisher="University of Bordeaux 1",
  type="conference paper"
}