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Kalman滤波程序,在一维的数据上，观看滤波后估计值与预测值之间的差距。(Kalman filtering)

本程序生成的图片容量大概3M左右，所以对计算机配置要求较高。(This program generates pictures capacity probably about 3M, so the higher the computer configuration requirements.)

Softmax 函数处理，softmax 用于 Deep Learning 后的分类器的实现与识别，此函数的参数经过优化，有较强的泛化能力和性能(Softmax function processing, softmax classifier Deep Learning for the realization and recognition, the parameters of this function is optimized, there is a strong generalization ability and performance)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

74161实习十进制计数功能，有预置端和清零端(Decimal count )

Test Shell Activity extends Activity implements Layout Test Controller.

搜索向上边界和下不同厚度的活动核心的有效传导边界。 (This program is to search the up-boundary and down-boundary of effective conductivity of active core with different thickness. )

说明：  matlab文件结合实例，实际的优化例子，很有用的(matlab file with examples, practical optimization example, very useful)

Power distribution systems have tie and sectionalizing switches whose states determine the configuration of the network. Reconfiguration of distribution network is achieved through switching operation on switches of distribution network branches. Power companies are interested in finding the most efficient configuration for minimization of real power losses and load balancing among distribution feeders to save the energy and enhance the operation performance of distribution system. The objective of this thesis is to show that the ant colony optimization algorithm can be used successfully in the reconfiguration of electrical distribution networks to minimize the power losses of the system and to balance the loading of the feeders. This work is to provide a basis for power companies to use it in the reconfiguration of the distribution networks to reduce the operational costs and to enhance the performance of their networks.

bounding box for multiple target tracking applications