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RAJMIC, P.
Original Title
Method for Real-time Signal Processing via Wavelet Transform
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The new method of segmented wavelet transform (SegWT) makes it possible to 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 also for the speech processing, e.g. denoising the speech signal via thresholding the wavelet coefficients or speech coding. In the paper, the principle of the segmented forward wavelet transform is described.
English abstract
Keywords
wavelet transform
Key words in English
Authors
Released
19.04.2005
Publisher
Escola Universitaria Politecnica de Mataró
Location
Barcelona
ISBN
84-256-1365-5
Book
Proceedings of the 3th International Conference on Non-Linear Speech Processing
Pages from
214
Pages count
10
BibTex
@inproceedings{BUT15973, author="Pavel {Rajmic}", title="Method for Real-time Signal Processing via Wavelet Transform", booktitle="Proceedings of the 3th International Conference on Non-Linear Speech Processing", year="2005", pages="10", publisher="Escola Universitaria Politecnica de Mataró", address="Barcelona", isbn="84-256-1365-5" }