JOURNAL ARTICLE

Research of Acoustic Signal De-Noising Using Wavelet Transform

Abstract

Wavelet theory is a new branch in signal processing field, and due to good performance in time-frequency analysis, it has become an important method in the signal de-noising application. In this paper, the basic principle of wavelet threshold de-nosing is expounded. And based on the traditional threshold method, improved methods are introduced. Finally, through simulation and analysis, these improved methods prove to be suitable for acoustic signal de-noising.

Keywords:
Wavelet Computer science SIGNAL (programming language) Wavelet transform Signal processing Second-generation wavelet transform Wavelet packet decomposition Discrete wavelet transform Speech recognition Algorithm Artificial intelligence Digital signal processing

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Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Flow Measurement and Analysis
Physical Sciences →  Engineering →  Mechanics of Materials
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering

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