A Weak Signals De-Noising Method Based On Virtual Instrument Technology
Yusen Wei, Zhu Xin-ya, Hua Wang, Yang Guosheng · 2007
A de-noising method for obtaining the periodical weak signals in strong noised backgrounds was investigated in this paper. The virtual instrument (VI) technology based on the mixed programming between LABVIEW and MATLAB was employed to realize the method. First, the signal-to-noise ratio (SNR) was improved by accumulation and equilibration (A&E) process; second, the noise was minimized again by wavelet de-noising. The simulation results indicate that the SNR was improved from -13.55dB to 7.94dB. This de-noising method was implemented totally by software without any hardware accumulation system.