Title :
Comparative study of noise reduction approaches with engineering applications in time domain and frequency domain
Author :
Ye, Zhengmao ; Mohamadian, Habib
Author_Institution :
Southern Univ., Baton Rouge, LA, USA
Abstract :
Noise effects are unavoidable in engineering data acquisition systems. Noise reduction is necessary for numerous practical problems in either time domain or frequency domain, where measurements and observations are contaminated by diverse sources of noise. Advanced noise reduction algorithms should be applied to minimize the impact of data corruption in problem solving. Thus, a comparative study is made on a basis of several denoising methods, such as the adaptive recursive least square (RLS) filter, multi-layer neural network training via backpropagation algorithm and discrete wavelet denoising. Two case studies are conducted: the laser Doppler spectral filtering in frequency domain and rapid compression machine pressure profile signal denoising in time domain, in order to evaluate these typical noise removal approaches.
Keywords :
Doppler effect; adaptive filters; backpropagation; computerised instrumentation; data acquisition; discrete wavelet transforms; engineering computing; frequency-domain analysis; least squares approximations; neural nets; optical filters; optical scanners; problem solving; recursive filters; signal denoising; time-domain analysis; RLS filter; adaptive recursive least square filter; backpropagation algorithm; data corruption impact minimization; discrete wavelet denoising; engineering applications; engineering data acquisition systems; frequency-domain analysis; laser Doppler spectral filtering; multilayer neural network training; noise reduction algorithms; noise sources; problem solving; rapid compression machine pressure profile signal denoising; time-domain analysis; Discrete wavelet transforms; Doppler effect; Maximum likelihood detection; Noise; Noise reduction; Nonlinear filters; Backpropagation; DWT; Noise Reduction; RLS;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295276