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Cognitive-radio-based smart-grid networks have been studied recently as an efficient and reliable communications infrastructure for the future power grid. In this paper, we consider the spectrum resource management in cognitive-radio-based smart-grid networks. A new spectrum access paradigm called hybrid spectrum access (HSA) is proposed, in which both licensed and unlicensed spectrum bands are intelligently...
The performance of an automatic fingerprint authentication system relies heavily on the quality of fingerprint images. Besides, the effective evaluation and quality classification of fingerprint images is of paramount significance in the applicability research of fingerprint recognition algorithm. In this paper, an effective quality classification method for fingerprint image based on neural network...
A new segmentation method is proposed for high resolution remote sensing image. In the high-resolution remote sensing image, there is mass of data to be processed, and land objects exhibits strongly hierarchical and multiscale characters. In order to overcome the disadvantages of pixel-based hierarchical MRF model directly used on high-resolution remote sensed images, a hierarchically multiscale object-oriented...
Geomagnetic field is the one of the inherent physical characteristics of the earth. For earthquake prediction to independent navigation or to other applications, local geomagnetic model plays a very important role. In order to control the performance of the local geomagnetic field model, the methods like polynomial, polyhedral function, spline function, rectangular harmonic analysis and spherical...
Seabed topographic match is a very important work for fulfilling the blend of different-source sounding data and the underwater positioning and navigation. Contour match is a classic method for the seabed topographic match. However, the traditional contour match algorithm will lead to obvious time consuming and mismatch, especially in the longer contour match. Thus, a kind of contour match algorithm...
In this paper, a method for side scan sonar image matching is proposed based on SURF and similarity calculating in typical areas. The process is composed of three steps of rough matching, geometric correction and accurate matching. Firstly, rough matching is implemented to get a rough matching relationship of reference image and matching image based on SURF. Then geometric correction is executed with...
In order to improve the poor accuracy and stability of the traditional geomagnetic matching navigation by TERCOM, In this paper, we discuss a new method which is based on the integration of TERCOM, K-means clustering algorithm and INS (inertial navigation system) in detail. Through an experiment, we find that the new method has higher accuracy and stability than the traditional method, especially...
Based on the current situation of underwater navigation, this paper presents an underwater topographic matching navigation method which is the integration of TERCOM and MCTM algorithm. First of all, we use the TERCOM to acquire a rough position of vehicle. Secondly, a search area is found according to TERCOM positioning result. The multi-contour matching algorithm is implemented in the area. The algorithm...
In order to improve the performance of LMS (Least Mean Square) adaptive filtering algorithm, an improved robustness adaptive step-size LMS equalization algorithm was presented by establishing a nonlinear relationship between the two relevant statistics for step-size factor μ(n) and the error signal e(n). Compared with other algorithms, this algorithm overcomes of sensitivity to the noise coming from...
Gene selection is a central step of gene expression data analysis.In this paper, a new nonparametric method, Gene Selection for Multiclass (GSM), is proposed, which selects genes based on the criterion of the large inter-class difference and the small intra-class difference. Using the default training and testing sets on two publicly available datasets, leukemia (two classes) and SRBCT(four classes),...
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