Data Synchronization Acquisition Based on Wavelet Decomposition under Cloud Computing Platform
Unlike most single-channel data acquisitions,dual-channel data acquisition needs multiple analog sig-nals in each channel,resulting in high network energy consumption.Therefore,a data synchronous acquisition algo-rithm based on wavelet decomposition under the cloud computing platform was proposed.At first,the data were de-composed by wavelet,and then wavelet coefficients and scale coefficients were generated.Meanwhile,threshold func-tions were used to process the wavelet coefficients.Moreover,the estimated signal was reconstructed by the correlation coefficients,so that the data denoising was completed.Then,the smooth WVD method was adopted to extract data fea-tures,and thus generate the feature vector of dual-channel data.According to the feature vector,the cloud computing platform was used to realize the simultaneous acquisition of dual-channel data.Experimental results show that the proposed algorithm has a high degree of fit as well as a good data collection effect.Meanwhile,this algorithm effective-ly reduces network energy consumption.
NETL
NSTL
万方数据
维普
