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Aiming at the de-noising of GPR echo signal, a de-noising method based on EEMD and wavelet is presented. First the echo signal data is processed with EEMD and yields IMF components. Then the IMF components which indicate noise are subtracted. Next, the high frequency IMF components of the remaining are subjected to wavelet threshold. Finally, the signal is reconstructed using the de-noising IMF and low frequency IMF to realize signal de-noising. Compared with other commonly used methods, EEMD-wavelet method has improvement on SNR. The experiment results show its effectiveness and feasibility in GPR de-noising.

This paper has introduced the clustering algorithm into the model of urban tourism destination consumption structure, and has used MATLAB programming algorithm to improve the calculation model of consumption structure for tourism destination, which has obtained the spatial data model of the consumption structure. The model roundly considers the influence of geographical location, cultural factors, political factors and economic factors, and it establishes new clustering algorithm model with four coefficients, and has realized the algorithm by the use of MATLAB programming. Finally, the consumption structure of the same destination in different provinces is calculated by using the spatial system model, which has obtained the calculation curve of consumption space structure and the clustering results, and has provided technical reference for the research on consumption of urban tourism destination.

This paper has designed a new diamond computer evaluation method by the use of the diamond evaluation model, and the combination of VC programming technology, and the method has been introduced into the evaluation of regional tourism comprehensive competitiveness. In order to achieve the comprehensive evaluation function of new diamond model, we have designed new diamond comprehensive fuzzy evaluation model by using fuzzy evaluation function to, and have the developed computer evaluation system of regional tourism competitiveness by combining VC programming technology. The system uses the market, enterprises and infrastructure the three aspects of evaluation factors to score the tourism competitiveness, which has realized the evaluation of computer automation function. Competitiveness of regional tourism industry in Shandong, Yunnan and Gansu and other areas is respectively scored through the function, and the results indicate that the comprehensive evaluation score of Yunnan is the highest, and that of Gansu is the lowest.