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

fYear

2007

Firstpage

11749

Lastpage

12844

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICEMI.2007.4350919

Filename

4350919