ID 原文 译文
48566 为此,首先建立网络化C4ISR系统结构的OPDAR模型,然后提出了情报信息流、协同信息流和指控信息流3类信息流的定义、数学表示及其参量计算方法,在此基础上定义了情报信息流时延、协同信息流时延和指控信息流时延3种系统结构时效性分析指标及计算方法,支持定量分析系统结构的时效性。 Therefore, first of all, establish a network OPDAR model of C4ISR system structure, and then puts forward the intelligence information flow and information flow and accused of information flow of information flow in the three kinds of definition, representation and parameter calculation method, based on the definition of intelligence traffic delay, collaborative information flow time delay and charges flow time delay structure timely analysis of three kinds of system index and calculation methods, support for quantitative analysis of the efficiency of the system structure.
48567 最后,利用所提分析方法对设计的两种区域联合防空系统结构的时效性进行对比分析,验证了所提方法的有效性。 Finally, using the proposed analysis method for the design of the efficiency of the two kinds of regional joint air defense system structure, this paper compares and analyzes the effectiveness of the proposed method is verified.
48568 提出了一种矢量维数分割量化的超光谱图像压缩算法,通过维数分割将矢量分为几个部分,然后利用哈达玛变换的性质,在哈达玛域内单独设计每个部分的码书。 A vector dimension segmentation quantitative hyperspectral image compression algorithm, by division dimension vector can be divided into several parts, and then by using the properties of hadamard transform, separate design for each section in the hadamard domain code book.
48569 设计过程中采用最优矢量量化器设计原则,并结合分步判断排除不等式算法与LBG(Linde Bazo Gray)聚类算法快速生成矢量量化过程的最终码书,使各个部分的码书性能达到最优,改善整体码书的性能。 Used in the process of designing the optimal vector quantizer design principles, and combined with fractional judge ruled out inequality with LBG algorithm (Linde Bazo Gray) clustering algorithm is used to quickly generate the final vector quantization process code book, make each part of the code book to achieve optimal performance, improve the overall performance of the code book.
48570 实验表明,这种算法在码书尺寸相同的情况下,图像的恢复质量以及复杂度都优于其他几种算法。 Experiments show that this algorithm in the code book under the condition of the same size, recovery image quality and complexity are better than several other algorithms.
48571 针对电子系统状态时间序列的预测问题,提出一种基于量子粒子群优化(quantum-behaved particle swarm optimization,QPSO)的相关向量机(relevance vector machine,RVM)方法。 To electronic system state prediction of time series problem, put forward a kind of based on quantum particle swarm optimization (quantum - behaved particle swarm optimization, QPSO) of relevance vector machine (relevance vector machine, RVM) method.
48572 对电子系统状态时间序列进行相空间重构,建立了RVM回归预测模型;以交叉验证误差最小作为优化目标,将RVM核参数表示为量子空间中的粒子位置,采用QPSO算法实现RVM模型参数的自动优化选择。 For electronic system status, time series phase space reconstruction, RVM regression prediction model is established;As optimization target of minimizing the error of cross validation will RVM nuclear parameter for quantum particle location in space, using RVM model parameters can be automatically optimized QPSO algorithm to choose from.
48573 雷达发射机状态时间序列预测实例表明,相比已有方法,所提方法具有更高的预测精度;同时,能够输出预测值的置信区间,有利于对电子系统未来健康状况做出更加可靠的判断。 Radar transmitter condition time series prediction example shows that compared with the existing methods, the proposed method has higher precision of prediction;At the same time, can output the confidence interval of predicted value, which is beneficial to the electronic health system the future make more reliable judgment.
48574 在短波高速数据传输系统中,为了消除电离层反射信道所产生的符号间干扰和快速时变深衰落,依据最小均方误差准则提出一种迭代合并均衡器及其算法。 In short wave in high-speed data transmission system, in order to eliminate intersymbol interference generated by the ionospheric channel and time-varying deep fading fast, on the basis of minimum mean square error criterion merger of an iterative equalizer and its algorithm is put forward.
48575 所提算法对空间分集合并和均衡进行联合优化,并与译码器交换软信息进行迭代,从而充分利用时域和空域信息。 Proposed algorithm to joint optimization of spatial diversity merger and equilibrium, and compared with iterative decoder soft exchange information, so as to make full use of temporal and spatial information.