Title :
Periodical weak signal detection based on LabVIEW
Author_Institution :
Dept. of EE, Xi´´an Univ. of Technol., Xi´´an
Abstract :
In order to detecting the weak signal with a strong noise background successfully and to reducing the cost of hardware system, a new weak signal detection method based on software was investigated and verified in this paper. LabVIEW and C language were used to realize the weak signal de-noising. The results indicated that according to calling dynamic link library (DLL) by CLF node, the data with 1,000 sampling points can be accumulated 10,000 times and averaged in 624 ms. Compared with the hardware module having the similar de-noising function, the computing speed of the software method proposed in this paper is basically in the same order as that of hardware. Solutions to data drift were also discussed in this paper.
Keywords :
C language; computerised instrumentation; signal denoising; signal detection; C language; LabVIEW; dynamic link library; hardware system; noise background; periodical weak signal detection; weak signal de-noising; Background noise; Biomedical signal processing; Costs; Data acquisition; Hardware; Noise reduction; Signal denoising; Signal detection; Signal processing; Signal to noise ratio; Digital Multipoint Average; LabVIEW; SNR; Weak signal;
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
DOI :
10.1109/ICNNSP.2008.4590357
