Based On Wavelet Analysis Of Weak Signal Detection And Its Application Of Electronic Measurement Syste

An important aspect in information science field is to acquire real information of objective world, but there exists noises in all systems, especially it is difficult to detect weak signal in strong noises, so more attention has been paid to the problem of how to measure the weak signal in strong noise. These years, as the theory of wavelet Transform developed, it is a great advance again after Fourier techniques in area of Mathematics. Because wavelet analysis has good characteristic of time-frequency localization, it provide powerful tools for signal Processing and resolve many problems which had not been done by Fourier Transform. The signal can be decomposed into different frequency components with the help of Multi-scale Analysis, and Wavelet methods offers an effective way for signal filtering, signal-noise separating and characteristic extracting.Therefore, in this thesis, Wavelet methods have been used to process the data of deformation monitoring for resolving how to extract the characteristics of weak signal disturbed by strong noise in the data of deformation monitoring, the characteristics of deformation signal and noise in wavelet transform is discussed, and deformation signal filtering is done with Multi-scale Analysis, the deformation signal is reconstructed with the wavelet decomposed coefficients processed by threshold, and fantasticality point and its position of deformation monitored data is find out with fantasticality analysis. The superiority of wavelet analysis used in area of deformation data processing is proved by making use of simulated examples.The author combines the experience of developing electronic measurement system, in this thesis, based on wavelet analysis theory of weak signal detection principle, the author makes in-depth discussion of electronic measurement system used in the practical, sets up a self-optimized signal processing of electronic noise measurement system, Designs the software algorithms, takes final application by Matlab and LabWindows Multi-programming, verifies the theoretical feasibility, practicality and effectiveness of the system.