The cooperative transmission schemes based on the amplify and forward(AF) mode have the defect of low transmission rate and the exiting full-rate cooperative transmission schemes based on space-time code design have...
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ISBN:
(纸本)9781467349994
The cooperative transmission schemes based on the amplify and forward(AF) mode have the defect of low transmission rate and the exiting full-rate cooperative transmission schemes based on space-time code design have the defect of high detection ***,this paper makes the best of linear constellation precoding(LCP) technique and cyclic delay diversity(CDD) technique,and adopts the nonorthogonal amplify and forward(NAF) mode,finally proposes a new full-rate wireless cooperative transmission scheme based on space-time-frequency code *** with the cooperative transmission schemes that only pursue the transmission rate or the BER performance,this new scheme can apply to multi-relay scenario,and has the advantages of simple structure,low signal detection complexity that does not increases with the number of relay *** of above makes the real-time data transmission service of high quality come to be possible.
The concept of three-way decisions was proposed by Yao and most of three-way decisions models use two thresholds α and β to partition the universe into three parts: the positive region POS(X), the negative region NE...
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The prevalence of aphid in winter wheat field has a significant impact on the production of winter wheat. An effective and timely forewarning of the scope and severity of the disease at a regional scale will not only ...
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In order to accomplish tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a method which uses a combination of MeanShift and Kal...
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Finding correspondences between two related feature point sets is a basic task in computer vision and pattern recognition. In this paper, we present a novel method for point pattern matching via spectral graph analysi...
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We analyzed the relationship between packet validity and encounter probability as well as the relationship between packet validity and remaining lifetime. Then we proposed the congestion control strategy based on prob...
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This paper presents a novel method that integrates the Algebraic Connectivity Strength of Point(ACSP) and Scoring Criteria to identify genes associated with tumor ***,for each gene,the ACSP is used to identify reliabl...
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This paper presents a novel method that integrates the Algebraic Connectivity Strength of Point(ACSP) and Scoring Criteria to identify genes associated with tumor ***,for each gene,the ACSP is used to identify reliable expression levels of the gene in all the *** informative genes are then selected using Scoring Criteria based on these reliable expression ***,the Support Vector Machine(SVM) classifier is used to classify the two datasets of gene expression *** results show that the informative genes selected by the proposed method have higher credibility than those selected by Scoring Criteria alone.
Despite numerous efforts on blur measurement of partially blurred images, there still lacks an effective blur measure that is both pixel-wise and locally sharp consistent. The paper proposes a novel method with two co...
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Despite numerous efforts on blur measurement of partially blurred images, there still lacks an effective blur measure that is both pixel-wise and locally sharp consistent. The paper proposes a novel method with two contributions to overcome this limitation: 1) A new pixel-based blur metric, Multi-resolution Singular Value (MSV), which leverages the average singular value of high frequency bands to measure the blur of each pixel, and 2) a locally continuous strategy, maximum-likelihood estimation (MLE) based refinement, that ensures local continuity by imposing the local sharp consistency on pixel blur in a local correcting process. Experimental results show that our method is effective to smoothly measure the partially blurred images without local discontinuity.
With the developing of low-power wireless techniques such as the micro-sensors, analog and digital electronic technology and radio frequency technology, different kinds of wireless sensor networks are widely used in t...
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With the developing of low-power wireless techniques such as the micro-sensors, analog and digital electronic technology and radio frequency technology, different kinds of wireless sensor networks are widely used in the field of military, civil, medical and so on. However, in practical applications, the low-power consumption and long-distance have not been well achieved in the wireless sensor networks. In this paper, a low-power and long-distance system based on wireless sensor networks is proposed. The system model consists of two parts: the hardware includes server node, client nodes and ARM boards. The software mainly handle the analysis and construction of the communication frame as well as data analysis and processing and then the data information is processed to report to the server. We can reduce the energy consumption and increase the transmission distance by the combined application of hardware and software. The system can be used in different occasions and does have a grand application prospect.
Locally linear embedding(LLE)algorithm has a distinct deficiency in practical *** requires users to select the neighborhood parameter,k,which denotes the number of nearest neighbors.A new adaptive method is presented ...
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Locally linear embedding(LLE)algorithm has a distinct deficiency in practical *** requires users to select the neighborhood parameter,k,which denotes the number of nearest neighbors.A new adaptive method is presented based on supervised LLE in this article.A similarity measure is formed by utilizing the Fisher projection distance,and then it is used as a threshold to select *** samples will produce different k adaptively according to the density of the data *** method is applied to classify plant *** experimental results show that the average classification rate of this new method is up to 92.4%,which is much better than the results from the traditional LLE and supervised LLE.
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