2009•Unpublished venueRequires access

Research of Acoustic Signal De-Noising Using Wavelet Transform

Hongliang Wang, Zhigang Ma

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.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Wavelet, Computer science, SIGNAL (programming language), Wavelet transform, Signal processing, Second-generation wavelet transform, Wavelet packet decomposition, Discrete wavelet transform