Title :
A Weak Signals De-Noising Method Based On Virtual Instrument Technology
Author :
Yusen, Wei ; XinYa, Zhu ; Hua, Wang ; Guosheng, Yang
Author_Institution :
Fourth Mil. Med. Univ., Xi´´an
Abstract :
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.
Keywords :
signal denoising; virtual instrumentation; wavelet transforms; LABVIEW; MATLAB; SNR; accumulation and equilibration process; mixed programming between; periodical weak signals; signal-to-noise ratio; signals denoising method; virtual instrument technology; wavelet denoising; Gaussian noise; Instruments; MATLAB; Noise reduction; Sampling methods; Signal denoising; Signal processing; Signal to noise ratio; Silicon compounds; White noise; A&E; SNR; VI; mixed programming; weak signals;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350919
