Journal of Xidian University 

About: Journal of Xidian University is an academic journal published by Science Press. The journal publishes majorly in the area(s): Wavelet & Radar. It has an ISSN identifier of 1001-2400. Over the lifetime, 960 publications have been published receiving 2206 citations. The journal is also known as: Journal of Xidian University.

Grey System Theory and Its Application to Tourism Market Forecasting——Take Guilin as an Example

Abstract: The grey system theory and GM(1,1) grey forecasting model are briefly analyzed in this paper.In view of characteristics of the tourism system,and combining with the purpose of the tourism market forecasting,grey forecasting model GM(1,1) is applied to the regional tourism forecasting.Finally,an example of Guilin in Guangxi Zhuang Autonomous Region is taken to illustrate the application of the model with satisfactory results obtained.

Based on Super-efficiency DEA Model

Abstract: DEA model and super-efficiency model are compared first in this paper.Then vice-provincial cities in China are evaluated by the two models.The results indicate that super-efficiency model has advantages in the use.

Signal de-noising in wavelet domain based on a new kind of thresholding function

Abstract: A novel thresholding function is presented based on the wavelet shrinkage put forward by D.L.Donoho and I.M.Johnstone. This new thresholding function has many advantages over DJ's soft- and hard-thresholding function. It is simple in expression and as continuous as the soft-thresholding function, and has a high order derivative which makes convenient some kinds of mathematical disposals. It also overcomes the shortcoming that there is an invariable dispersion between the estimated wavelet coefficients and the decomposed wavelet coefficients of the soft-thresholding method. At the same time, the new thresholding function is more elastic than the soft- and hard-thresholding function. All these advantages make it possible to construct an adaptive denoising algorithm. Simulation results indicate that the de-noising method adopting the new thresholding function suppresses the Pseudo-Gibbs phenomena near the singularities of the signal effectively, and the numerical results also show the new method gives better MSE performance and SNR gains than DJ's hard- and soft-thresholding methods.

Copyright protection of the vector map using the digital watermark

Abstract: An algorithm for watermarking of the vector map is presented. we lay a rectangular grid over the map; according to the classification of density of vertices in each block we modulate the intensity of watermark adaptively, in the tolerance of the coordinates, and a two-value watermark image is embedded repeatedly by displacing the coordinates of vertices. When extracting the watermarks double-threshold combinative detection is used, the proposed algorithm can enhance the intensity of watermarks and ensure the precision and usability of the map. Experimental results show that this algorithm is robust to some processing.

A novel method for estimating 2-D DOA

Abstract: Based on an Lshape array, a novel method for estimating 2D DOA is presented. The algorithm uses the array geometries to construct a matrix and then obtain the required signal subspace in the 2DESPRIT method via the eigendecomposition of the constructed matrix. Without spectral peak searching and complex computation, this algorithm works well for pairing among parameters. Furthermore, its performance is confirmed by computer simulations.