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This paper seeks to explore the integration of spectrum and network resource management functionalities for the benefit of achieving higher performance and capacity gains in an International Mobile Telecommunications-Advanced (EVIT-A) scenario. Supporting wider bandwidth up to 100MHz is one of the key features for EVIT-Advanced systems. Spectrum aggregation(More)
According to the characteristics of retinal fundus images, one novel method of registration based on phase-correlation was proposed in this paper. This method takes advantage of optic disc to match two images coarsely. Meanwhile edge detection was applied to extract the edge of abundant retinal veins and arteries in order to raise the precision of(More)
Effective segmentation of microcalcifications in mammograms is crucial for the quantification of morphologic properties by features incorporated in computer-aided diagnosis schemes. A multi-resolution region growth method based on edge feature is proposed in this paper, in which edge feature vectors are used to obtain complete microcalcifications. Then a(More)
The recovery algorithm is a crucial issue of the Compressed Sensing (CS). This paper presents a greedy algorithm called Optimized Orthogonal Matching Pursuit (OOMP) for sparse signal recovery. The OOMP algorithm improves the Orthogonal Matching Pursuit (OMP) algorithm via providing the projection onto the subspace generated by the selected measurements and(More)
In this paper, a new method was proposed for retinal vessel detection. Most existed methods of vessel detection adopt pre-processing steps before vessel edge extraction, such as noise-filtering, enhancement, etc. These processing steps always change the vessel characteristics and result in inaccurate detection. Our proposed method is used to identify and(More)
A greedy sparse signal recovery algorithm called spectral projected gradient pursuit algorithm for compressed sensing is introduced in this paper. Directional pursuit frame is adopted in this algorithm and spectral projected gradient method is used to compute the update direction and step length. Experimental results show that the proposed algorithm is(More)
The traditional 1 dimension maximum between-class variance (1DMBV) method cannot obtain ideal threshold if the image has low SNR, while 2DMBV method can perform well even on the image with low SNR and low contrast, but with large computation. Some researchers combined the standard genetic algorithm with 2DMBV method (SGA-2DMBV), but it was premature and(More)
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