DocumentCode :
2482562
Title :
Detection method for colored noise submerged in Gaussian noise
Author :
Wang, Guiqin ; Wang, Molin ; Qian, Zhihong
Author_Institution :
Coll. of Commun. Eng., Jilin Univ., Changchun, China
fYear :
2010
fDate :
Nov. 30 2010-Dec. 2 2010
Firstpage :
517
Lastpage :
520
Abstract :
For some electronic devices like optoelectron coupled device, it is difficult to detect some colored noises from background noises such as Gaussian noise. The burst noise is a sort of colored noises that are destructive and frequently found in semiconductor devices and ICs, yet detecting the noise has proved to be challenging for device users. A methodological approach is presented in the paper, by which burst noise can be analyzed and detected in time domain, instead of frequency domain. Practical methods to detect colored noise from background noise relies on frequency domain, which may take much of time to complete the work. However, by means of wavelet transform in the time domain and the multi-resolution characters of Gaussian noise, burst noise and blurred burst noise are precisely located and confirmed so that users of some devices does not need to take detection time into account as the practical methods acquired with a great deal of experiment and data statistics.
Keywords :
Gaussian noise; burst noise; signal processing; wavelet transforms; Gaussian noise; background noise; blurred burst noise; burst noise; colored noise; frequency domain; multiresolution character; optoelectron coupled device; semiconductor device; wavelet transform; Frequency domain analysis; Gaussian noise; Noise measurement; Wavelet analysis; Wavelet transforms; colored noises; detected; multi-resolution; time domain; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8567-3
Electronic_ISBN :
978-89-88678-30-5
Type :
conf
DOI :
10.1109/ICCIT.2010.5711110
Filename :
5711110
Link To Document :
بازگشت