Title :
Research of Acoustic Signal De-Noising Using Wavelet Transform
Author :
Wang Hongliang ; Ma Zhigang
Author_Institution :
Key Lab. of Instrum. Sci. & Dynamic, North Univ. of China, Taiyuan, China
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 :
acoustic signal processing; time-frequency analysis; wavelet transforms; acoustic signal de-noising; time-frequency analysis; wavelet theory; wavelet transform; Acoustic waves; Discrete wavelet transforms; Frequency; Noise reduction; Sensor arrays; Signal analysis; Signal denoising; Signal processing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5301307
