encoder

这是关于philips932源码GUI，我平时用的．(This is the source of philips932 GUI, I usually use.)

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.)

智能天线技术，里面介绍了很多关于频域宽带波束形成方面的算法。作者L.C Godara是这方面的大牛，发表了很多关于波束形成方面的paper，大家可以参阅一下。(Smart antenna technology, which introduces a number of algorithms on the frequency domain broadband beamforming aspects. The Author LC Godara large cattle in this area, published a paper about the many aspects of beam forming, we can see it.)

这是一个gan_zhi_qi.rar（感知器）的仿真程序，希望各位多多指点。相互交流，共同进步！()

explain how to install a reradiator cdma network

5.采用概率密度比值估计的距离度量学习.rar(5.Probability density ratio is estimated using a distance metric learning.rar)

在求解装备的资源约束型装配线平衡单目标优化问题时，采用用matlab解决改进的遗传算法。(The single objective problem is solved with matlab language.)

说明：  利用盲源分离分离混合信号，此算法为FastICA,运行稳定(Separation of mixed signals by blind source separation algorithm)

很好的介绍语音增强的论文资料，包括各种算法的MATLAB的实现程序，可供读者学习运用。(very good for studying pitch.)

Optische Nachrichten technik