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Publication detail
RAJMIC, P.
Original Title
Method for Real-Time Signal Processing via Wavelet Transform
Type
conference paper
Language
English
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 explained and the algorithm is described in detail.
Keywords
wavelet transform
Authors
RIV year
2006
Released
1. 1. 2006
Publisher
Springer
Location
Berlin, Germany
ISBN
3-540-31257-9
Book
Nonlinear Analyses and Algorithms for Speech Processing (Revised Selected Papers, Springer LNAI 3817)
Pages from
368
Pages to
378
Pages count
11
BibTex
@inproceedings{BUT21867, author="Pavel {Rajmic}", title="Method for Real-Time Signal Processing via Wavelet Transform", booktitle="Nonlinear Analyses and Algorithms for Speech Processing (Revised Selected Papers, Springer LNAI 3817)", year="2006", pages="11", publisher="Springer", address="Berlin, Germany", isbn="3-540-31257-9" }