Realization Methods for Periodical Weak Signal Detection by Software
Yusen Wei · Measurement & Control Technology · 2008
In order to detect the weak signal with strong noise background and to reduce the cost of hardware system,three weak signal detection methods are investigated.LabVIEW and the data processing capability of Matlab and C language are used to realize the weak signal detection.Verifications and comparisons in these methods are carried out by loading a weak signal with strong noise background.The results indicate that,through the CLF node with dynamic link library(DLL),the 512 sampling data can be accumulated 10000 times and averaged in 320 ms.The computing speed is 277 times and 9742 times faster than that of the other two methods.Compared with the hardware of data processing,the computing speed is in the same order.The application environments and data drift are also discussed.N