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With the rapid development of Internet technologies such as cloud computing and big data, the scales of distributed information systems in big companies have grown to enormous sizes. Automatic detection and diagnosis of system faults in the large-scale information systems is complicated and important in both practice and research. In this paper, we propose a Graph-based Fault Diagnosis approach in...
In this paper, we propose a SAR image texture segmentation method based on Contourlet transform and Support Vector Machine (SVM). The Contourlet transform provides a multi-resolution and multidirectional representation of images, which can capture the directional texture information into subbands of different scales and directions. Thus, the energy, standard deviation and information entropy defined...
Contourlet has shown good performance in different aspects of image processing. Because of its charming multi-resolution and multi-direction characteristics, Contourlet is especially efficient in the processing of images with abundant texture. In this paper, a texture classification method is presented for the SAR images based on the Contourlet transform and a minimum distance classifier. The interested...
This paper addresses a new compression algorithm for Doppler signal in miss distance measurement. In order to compact as much energy of the original Doppler signal as possible into as few significant coefficients as possible, the new compression algorithm takes advantage of a near adaptive hybrid time-frequency representation, i.e. it employs the short time Fourier transform (STFT) while the Doppler...
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