城市道路景观的建设，应以线性空间理论为指导思想，以体现整个城市的特色风貌为主要目标。
The construction of urban roads landscape, takes the linear space theory as the guide, aims at showing the special urban characters.
运用L2空间上的线性算子理论，我们证明了这类算子存在至多可数个正的本征值。
By using linear operator theory in L2 space, we proved that the operators of this kind has not more than denumerable positive eigenvalues.
首先，基于线性空间的几何理论，提出了一种新的操瞄系统解耦方案。
Firstly, a new decoupling approach to aiming system is presented based on the geometric theory of linear space.
藉助L_2空间上的线性算子理论，我们得到了这类方程的控制参数在实轴上的分布情况以及存在符合物理意义的正解的条件。
By using linear operator theory in L2 space, we get the distributed parameters on real line and the existence of positive solutions.
该文利用矩阵的初等变换解决有限维向量空间中向量组的线性性质的有关问题，并给出了这种方法的理论依据。
This paper with elementary transformation of matrix discusses some properties of a set of vectors in finite dimensional vector space and the theory basis of this method is given.
非线性函数空间的测量数据处理问题是测量数据处理理论研究中的前沿课题之一。
The question of surveying data processing in space of nonlinear functions is one front line task in this field.
基于相干密度理论，数值地研究了在饱和对数非线性介质中多个部分非相干光空间孤子之间的相互作用。
We investigate numerically the interactions of multiple partially incoherent spatial solitons in a nonlinear medium with logarithmic saturable nonlinearity based on the coherent density approach.
基于非线性动力学理论的水声信号相空间处理，是水声信号处理的一种新途径。
Signal processing in phase space based on nonlinear dynamics theory is a new method for underwater acoustic signal processing.
基于混沌序列重构相空间理论，提出一种改进的局部平均非线性去噪方法。
Based on the chaotic theory of reconstructing phase space, an improved local average nonlinear noise reduction method is presented.
结合悬链线理论和几何非线性有限元方法，对空间缆索自锚式悬索桥成桥状态的确定方法进行了研究。
The catenary theory and geometrical nonlinear finite element method were adopted in determining the dead-load state of self-anchored suspension bridge with spatial cables.
算例表明：采用本文理论可以极为有效地分析各类空间桁架几何非线性问题。
Numerical examples show that the incremental finite element method presented in this paper can analyse the geometrically nonlinear problems of space trusses satisfactorily and effectively.
给出了线性分集均衡器和判决反馈分集均衡器两种结构的工作原理，并从理论上证明了后者的最小均方误差性能优于线性空间分集组合器；
The principles of the linearity diversity equalizer and decision feedback diversity equalizer are presented, and the MMSE of the latter is proved to be better than the former.
在分析和阐述了离散概率密度演化理论和多维线性空间极值问题的基础上，给出了适合于该方案的非正则ldpc码的搜索算法和搜索结果。
By analyzing the discretized density evolution theory and the differential evolution algorithm, a method is proposed to search optimal irregular LDPC code for joint optimization of the system.
提出了一种基于混沌相空间重构理论的优化近邻点局部线性化跳频预测方法。
Based on the theory of chaos phase space reconstruction, a local linear forecasting approach on selecting the optimal neighbor points is presented in this paper.
讨论了抽象对偶系统中的向量值无穷矩阵变换，在一个所涉拓扑线性空间没有任何限制的情况下，得到了无穷矩阵变换理论的一个新结果。
For infinite matrices of linear and some nonlinear mappings between topological vector spares which have not any restriction, we establish a new result of infinite matrix transformations.
基于变分贝叶斯及相空间重构理论，提出了含噪混沌时间序列相空间域线性回归预测模型。
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
以非线性动力学理论中的相空间重构理论为基础，利用延时法对水下噪声时间序列信号进行了相空间重构。
Time delay method was used to reconstruct the phase space of underwater noise time series based on nonlinear dynamics theory.
本文运用多维空间投影的理论和方法，给出了非线性规划的一个通用解法。
In the paper a solution method of nonlinear programming is given by using the theory of description geometry inn dimensions.
本文主要研究概率度量空间中非线性算子的理论与应用。
In this thesis, some problems for nonlinear operators and their applications in probabilistic metric Spaces are studied.
以现代（非线性）谱分析理论为基础的超分辨空间谱估计技术，目的在于解决密集信号环境中的信号源高分辨和高精度测向定位问题。
The super-resolution algorithm based on modern spectrum analytical theory intends to improve DOA estimation quality in the presence of dense signals.
基于相干密度理论，数值地研究了在饱和对数非线性介质中多个部分非相干光空间孤子之间的相互作用。
We investigate numerically the interaction between incoherent spatial solitons in a nonlinear medium with logarithmic saturable nonlinearity base on the coherent density approach.
支持向量机(SVM)是基于统计学习理论的一种智能学习方法，可以用来解决样本空间的高度非线性的模式识别等问题。
Support Vector Machine (SVM) is an intellectual learning method based on the statistics theory. The SVM can solve problems of complicated nonlinear pattern recognition of spatial samples.
支持向量机(SVM)是基于统计学习理论的一种智能学习方法，可以用来解决样本空间的高度非线性的模式识别等问题。
Support Vector Machine (SVM) is an intellectual learning method based on the statistics theory. The SVM can solve problems of complicated nonlinear pattern recognition of spatial samples.
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