序列空间

In this dissertation, the best simultaneous approximation with weight to infinite sequence from simultaneous-suns in complex normed linear space is considered, and in the case when the weight satisfies a certain condition, the characterizations of approximation from a simultaneous-sun and uniqueness of approximation from a RS-set are obtained; moreover, in the case when the weight is free, the characterizations of approximation to a totally bounded sequence from a convex set are established.

本文在复赋范空间中研究了同时太阳集对无限序列的加权同时逼近问题，在权满足一定条件时，通过把所研究问题转化为连续向量值函数空间中相应集对一个上半连续函数的最佳逼近问题，得到了逼近的特征和RS集逼近的唯一性定理，有例表明它们是已有结果的本质推广；在权不受限制时，得到了凸集对全有界序列逼近的特征。

There are mainly four innovations made in this thesis: By introducing the notion"collectively compact operator sequence"into the study of composition operators, we give a sufficient and necessary condition on generalized Nevanlinna counting functions of the inducing maps for {C〓} to be collectively compact, extend some previous results and enrich the content of the study of composition operators.

本文主要在以下几个方面有所创新：第一，把逼近论中的算子序列总体紧性的概念引入到复合算子理论的研究中来，并通过值分布理论中的广义Nevanlinna计数函数给出了Hardy空间与加权Bergman空间之间的复合算子序列的总体紧性的刻画，从而推广了Shapiro的结果，丰富了复合算子理论的内容。

An sufficient and necessary condition on generalized Nevanlinna counting functions of the inducing maps is shown to characterize the collective compactness of composition operator sequence.

我们用诱导映射的Nevanlinna计数函数给出了Hardy空间与加权Bergman空间之间的复合算子序列为总体紧算子序列的一个充分必要条件。

It is necessary to point out that our results not only extend the classical results of composition operators C〓 on Hardy spaces, Bergman space, Dirichlet space and Nevanlinna class, but also expand composition operator C〓 to sequence {C〓} or C〓C〓 and C〓C〓, and expand basic spaces to the vector-valued analytic function spaces, etc.

应该指出的是，本文不仅涵盖了经典Hardy空间、Bergman空间、Dirichlet空间、Nevanlinna类上复合算子C〓的原有结果，而且进一步弄清了不同空间之间的复合算子的性质，同时扩展了单个复合算子C〓至复合算子序列{C〓}及乘积算子C〓C〓与C〓C〓的情况，基本空间扩展至向量值解析函数空间的情形等等。

Then eigenspace transformation based on Primary Component Analysis are used to extract action feature in training stage.

训练过程使用PCA算法进行特征空间的计算，测试过程则将获取的距离图像序列在特征空间投影并结合改进的序列匹配算法实现人的行为识别，多个数据库上测试的结果验证了算法的有效性。

Secondly,by reduction to absurdity and the sequentially compactness of the space,the minimality of a homeomorphism on a sequentially compact space is discussed.

其次，利用反证法结合空间的序列紧致性对序列紧致空间上的同胚映射的极小性进行讨论。

And three main steps of all subspace algorithms are explored. First, using an LQ-decomposition, the projection of the row space of specific data Hankel matrices is calculated. Next, the SV-decomposition of the projection is calculated to directly lead to the observability matrices and a Kalman filter estimation of the state sequences.

概括了子空间辨识算法的三个主要运算步骤：首先由LQ分解计算特定Hankel矩阵的行空间投影；再对该投影进行SVD，获取系统的可观测矩阵及状态序列的Kalman滤波器估计；最后由可观测矩阵和／或估计的状态序列确定系统矩阵。

And three main steps of all subspace algorithms are explored. First, using an LQ-decomposition, the projection of the row space of specific data Hankel matrices is calculated. Next, the SV-decomposition of the projection is calculated to directly lead to the observability matrices and a Kalman filter estimation of the state sequences. Last, the system matrices are extracted from the observability matrices and/or the estimated state sequences.

概括了子空间辨识算法的三个主要运算步骤：首先由LQ分解计算特定Hankel矩阵的行空间投影；再对该投影进行SVD，获取系统的可观测矩阵及状态序列的Kalman滤波器估计；最后由可观测矩阵和／或估计的状态序列确定系统矩阵。

Fourthly, it discusses the spectral image loss-less compression by applying thecorrelation and the entropy of the spectral image sequence. It gives and analyses three expressions of imaging spectrometer images, and tells the change in correlation coefficient and entropy for different expressions. At last, it puts forward D2PCM de-correlation method to reduce the spatial and spectral redundancy. This method improves the compression ratio and the compression efficiency, being easy and fast in operation.

根据成像光谱图像的空间、谱间相关性和信息熵的特征，提出成像光谱图像序列的三种表示方法，分析了不同表示方法的相关系数和图像信息熵的变化，并研究出了成像光谱图像的无损压缩方法，即利用D~2PCM方法对光谱图像序列进行去相关处理，同时降低图像的空间和谱间冗余，在提高了无损压缩的压缩比和压缩效率的同时，算法具有简单快速的优点。

The proposed algorithm first detects smooth intervals based on gray variance from the original frame sequence, then concatenates them to constructs a new frame sequence. After that, video features such as pixel-wise difference, HSV histogram difference and edge histogram difference are fed to a SVM classifier to decide the types of different shot boundaries.

第一级分类器根据视频帧灰度方差特征，将无明显变化的视频序列从原始视频序列中分离出去，得到一个新的视频序列；第二级分类器在新视频序列的基础上，提取视频图像的像素对差值、HSV空间颜色直方图的各分量差值以及边缘直方图X，Y分量差值等视频特征，并采用支持向量机多分类策略进行镜头边界类型的检测。

Cynanchum Lingtai apricot production in the average weight 65 grams, the brightly-colored fruit, juicy rich, sweet-sour taste, sweet from the nucleolus, when the late Qing Dynasty famous Shaanxi, Gansu provinces, the Qing imperial court Tongzhi tribute for years.

灵台生产的牛心杏平均单果重65克，果实色泽鲜艳，汁多味浓，甜酸适口，离核仁甜，清末时就驰名陕、甘两省，清同治年间曾为朝廷贡品。

Chenopodium album,Solanum nigrum, and Amaranthus retroflexus were very susceptible to the herbicides. Polygonum persicaria and Abutilon theophrasti were relatively less susceptible to the herbicides, and Lycopersicon esculentum was not susceptible to it. The relationship between reduction rates of weed biomass and PPM values of weed leaves 2,4, and 6 days after treatment was established.

供试的6种杂草对该混剂的敏感性存在显著差异：红心藜Chenopodium album、龙葵Solanum nigrum和反枝苋Amaranthus retroflexus对该混剂最敏感，ED90值分别为47.65、71.67和29.17g/hm2；春蓼Polygonum persicaria和苘麻Abutilon theophrasti敏感，ED90值分别为96.91、114.20g/hm2；而番茄不敏感。