复杂性研究的计算方法

计算、算法与复杂性研究有着密切的关系,计算方法已经上升为一种复杂性研究的科学方法。计算复杂性使用的研究方法基本上是计算方法,算法复杂性研究的算法描述也是一种计算方法。计算方法还在复杂适应系统理论、人工生命等复杂性分支学科中扮演了重要的角色。计算方法不但在复杂性研究中有重要的作用,而且在一般方法论意义上也已经变得不可或缺,甚至走向了计算主义。     

Waveform diversity based sonar system for target localization

A new monostatic army system taking advantage of diverse waveforms to improve the performance of underwater target localization is proposed.Unlike the coherent signals between different elements in common active array,the transmitted signals from different elements here are spatially orthogonal waveforms which allow for array processing in the transit mode and result in an extension of array aperture.The mathematical derivation of Capon estimator for this sonar system is described in detail.And the performance of this orthogonal-waveform based sonar is analyzed and compared with that of its phased-array counterpart by water tank experiments.Experimental results show that this sonar system could achieve 12 dB-15 dB additional array gain over its phased-array counterpart,which means a doubling of maximum detection range.Moreover,the angular resolution is significantly improved at lower SNR.     

UWB-SAR抑制RFI技术的参数化方法

射频干扰(RFI)抑制技术是超宽带合成孔径雷达(UWB-SAR)的关键技术之一.首先分析了RFI信号的来源和特性.基于RFI信号的窄带性质,简要综述了抑制RFI技术的参数化方法.然后,针对RFI信号的调制特性和非平稳性,分别提出了其调制模型和时变AR模型,并讨论了采用基函数展开形式的模型求解方法.最后,给出了几种参数化方法的实验结果.     

一种SAR图像目标识别方法

提出了一种新的合成孔径雷达 (SAR)图像目标检测和识别方法 ,该方法根据SAR图像统计分布特性 ,结合恒虚警检测算法和小波变换提取感兴趣的SAR图像目标特征 ,检测得到目标 ,采用马氏距离从杂波背景中识别该目标。实际SAR图像测试结果表明了该方法的有效性     

互联网对信息增值的影响

从枚(MEI)系统经济学的角度将网络分成实体网络和虚拟网络两大类,并引入信息科学中全信息的概念。论述互联网能极大地改善信息传递的质量,提高信息传递的速率,而且信息获取成本会越来越低,这三方面都能提高主体所获得的全信息量,从而信息增值效应非常明显。     

相控阵雷达旁瓣对消工作模式研究

从解矩阵方程的角度出发 ,在理论上分析了雷达旁瓣对消系统对消旁瓣干扰的工作原理 ,并由此得出了雷达实现最佳旁瓣干扰对消所需满足的条件 ,同时给出了实际的雷达旁瓣对消系统可能的四种工作模式 ,并比较了其优缺点。给出的最佳旁瓣对消条件 ,在雷达旁瓣对消系统的整体设计和对消系统性能的分析中将具有实际的指导意义。     

线性调频-二相编码雷达信号分析

报道了一类由二相编码信号与线性调频信号组合而成的新的脉冲压缩信号。导出了这类信号的表达式。通过理论分析和计算机模拟,给出了该类信号的模糊函数(图),幅度谱特性,匹配滤波器输出波形,多普勒频移特性,有加权时的压缩脉冲时间旁瓣波形和低截获概率等方面的性能。分析证明,该类信号与线性调频信号或二相编码信号相比具有更好的低截获概率特性,其多普勒性能优于二相编码信号。     

黄淮海平原县域粮食单产的增长趋势及其稳定性比较

建国以来黄淮海平原粮食单产持续增长,近年来仍然高于全国同期单产增速。尽管个别高产区单产年均增长率下降,但广大中低产区粮食单产的年均增长率仍然维持着较高的水平,全国粮食单产的增长潜力在于对广大中低产区的投入改造,生产条件的改善可明显增强粮食单产年际间增长的稳定性。     

A differential game model for a developing and a developed country

A differential game (DG) model for a developing and a developed country is considered. Each player makes decisions about how much resource to be used to restrict the opponent's development so as to maximize his weighted sum of current consumption and final output. Current consumption is assumed to be preferred to final output for both players. The developing country is assumed to have a higher economic growth rate and a higher preference to final output, whereas the developed country is assumed to have a higher initial income and a higher efficiency in restricting his opponent. This problem is investigated under three kinds of information structures, i.e., a zerosum, a nonzero-sum, and a Stackelberg game. Open-loop equilibrium solutions are obtained for all the three cases. Economic implications of the result are provided. The research is supported by the National Natural Science Foundation of China under Grant Nos. 70771118 and 70371030 and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry under Grant No. 2006.331.     

Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain based on sparse representation method

This paper deals with the blind separation of nonstation-ary sources and direction-of-arrival （DOA） estimation in the under-determined case, when there are more sources than sensors. We assume the sources to be time-frequency （TF） disjoint to a certain extent. In particular, the number of sources presented at any TF neighborhood is strictly less than that of sensors. We can identify the real number of active sources and achieve separation in any TF neighborhood by the sparse representation method. Compared with the subspace-based algorithm under the same sparseness assumption, which suffers from the extra noise effect since it can-not estimate the true number of active sources, the proposed algorithm can estimate the number of active sources and their cor-responding TF values in any TF neighborhood simultaneously. An-other contribution of this paper is a new estimation procedure for the DOA of sources in the underdetermined case, which combines the TF sparseness of sources and the clustering technique. Sim-ulation results demonstrate the validity and high performance of the proposed algorithm in both blind source separation （BSS） and DOA estimation.