An algorithm of daubechies wavelet transform in the final field when processing speech signals

Development and improvement of a mathematical model for a large-scale analysis based on the Daubechies discrete wavelet transform will be implemented in an algebraic system possessing a property of ring and field suitable for speech signals processing. Modular codes are widely used in many areas of modern information technologies. The use of these non-positional codes can provide high-speed data processing. Therefore, these algebraic systems should be used in the algorithms of digital processing of signals, which are characterized by processing large amounts of data in real time. In addition, modular codes make it possible to implement large-scale signal processing using the wavelet transform. The paper discusses examples of the Daubechies wavelet transform application. Integer processing, presented in the paper, will reduce the number of rounding errors when processing the speech signals.

Subjects

modular codes

large-scale signal processing

wavelet transform Daubechies

basic functions of Daubechies

DDC Class

530: Physik

600: Technik

Lizenz

https://creativecommons.org/licenses/by/4.0/

Name

electronics-07-00120-v2.pdf

Size

1.22 MB

Format

Adobe PDF

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An algorithm of daubechies wavelet transform in the final field when processing speech signals