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A large scale MIMO (multiple-input multiple-output) system with cloud base-station (BS) architecture is proposed to address the lack of spectrum resource. Potential transmission schemes including uplink training and downlink precoding are described and analyzed in this paper. The novel system is designed to mitigate interferences among users and make full use of spatial multiplexing gain. Simulation...
To extract the discrimination local structural features, an improved infrared face recognition method based on LBP is proposed in this paper. To get robust local features in infrared face, local binary pattern representation is applied to our method, instead of holistic feature extraction method. Based on the criterion of separability discriminant, pattern selection (PS) algorithm is proposed to get...
Traditional negative selection algorithms do not perform any differentiation for training self dataset and only use the mechanism of negative selection. They will generate excessive invalid detectors and have poor detection performance when the training selves contain noisy data. In this paper, an outlier robust algorithm is proposed. The new algorithm will divide the training selves into internal...
The negative selection algorithm (NSA) is one of models in artificial immune systems. In this paper, two issues existed in traditional NSAs are described. Inspired by immune suppression mechanism, a novel framework of NSA that combining boundary selves and detectors to perform detection is proposed. By introducing the framework into V-detector algorithm, the improved algorithm is implemented and applied...
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