Title :
Burst Noise Measuring on the Basis of Wavelet and Fourier Transform
Author :
Chen, Xiaojuan ; Han, Yaru ; Wu, Jie
Author_Institution :
Coll. of Inf. Eng., Northeast Dianli Univ., Jilin, China
Abstract :
Wavelet transform has a good time - frequency properties, that provides a broad prospect for the noise analysis and processing of the application. Burst noise is a longer pulse width of random pulse sequence, the voltage value is generally nV magnitude, its presence can cause severe circuit failure, so check out the burst noise is very necessary. Through the contrast of fourier transform and wavelet transform analysis in burst noise, we can see wavelet transform is extremely sensitive to the singular signal, making it showing the superiority in non-stationary signal analysis.
Keywords :
Fourier transforms; burst noise; signal processing; wavelet transforms; Fourier transform; burst noise measurement; circuit failure; noise analysis; non-stationary signal analysis; random pulse sequence; wavelet transform; Circuit noise; Fourier transforms; Frequency; Noise measurement; Pulse circuits; Signal analysis; Space vector pulse width modulation; Voltage; Wavelet analysis; Wavelet transforms; Fourier transform; Wavelet transform; burst noise; singularity;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.366