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TDM- time division multiplexing simulation

小波神经网络的分类识别，学习率因子，网络动量项因子，网络多分辨级数，网络平移参数 都可自己选。本例输入节点5，输出5。可识别五种信号。(wavelet neural network classification, the learning rate factor, network momentum contribution factor, network multiresolution series. Translation network parameters can be of his own choosing. The five cases input nodes, output 5. Five identifiable signal.)

基于Matlab的FPGA数字半带滤波器设计(Matlab-based FPGA digital half-band filter design)

摄影测量后方交会、前方交会、相对定向、绝对定向、光束法平差等。 (Photogrammetric resection, forward intersection, relative orientation, absolute orientation, bundle adjustment and so on.)

脑电想象运动的csp特征提取分类算法 matlab平台，通过投票可以直接扩展到多类(Imagine the movement csp EEG feature extraction classification algorithm matlab platform, through the vote can be directly extended to multiple classes)

电磁场圆极化，集肤深度，电磁波传播，驻波，射波(Circular polarization of electromagnetic field, the skin depth of electromagnetic wave propagation, standing waves, radio waves)

matlab实现fft,以及ifft算法,包含蝶型运算等文件(Matlab achieve fft and ifft algorithm, includes a butterfly computation, and other documents)

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

说明：  Numerical Analysis\Numerical Analysis-Numerical Methods Using MATLAB(Numerical AnalysisNumerical Analysis-Numerical Methods Using MATLAB)

为领域专家提供一种有效的知识获取方法。 该方法 综合各种设备故障诊断知识获取方法的优点, 引入系统论的 概念和思想, 使知识获取过程系统化和程式化, 强调和引入 了设备对象功能技术物理效应、 伴随技术物理效应和可测性 研究。 提出的设备故障诊断模型知识获取方法已应用于建立 某一抽水蓄能机组的诊断知识模型, 表现出了操作的方便 性, 较好地解决了所获取知识的完备性和一致性问题。该方 法使设备故障诊断知识获取工作向工程化的方向迈进了一步(For the domain experts to provide an effective knowledge acquisition method. The fault diagnosis method of integration of knowledge acquisition method has the advantage, the introduction of the system of concepts and ideas, so that systematic and programmed process of knowledge acquisition, stress and the introduction of a functional device object technology physical effects, physical effects associated with technology, and testing research. Fault diagnosis model proposed knowledge acquisition method has been applied to establish the diagnosis of a Pumped Storage Unit knowledge model, showing the convenience of operation, can solve the access to knowledge of the completeness and coherence. The method makes the fault diagnosis knowledge acquisition work to project a step in the direction of)