sphmie

时间序列来做预测，过程很适合初学者懂的。很详细，很容易的！(Time series to make the forecast, the process is very suitable for beginners understand. Very detailed, easy! )

一种声音合成的算法研究，可用Matlab方法验证(A sound synthesis algorithm used Matlab method validation)

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.)

process bench marking code

说明：  在mtlab下，运用矩量法计算两平行方板电容，并分析电容随两方板边长和两方板之间距离的变化(In mtlab, compution of two parallel side plate capacitor, and capacitance of the two sides of edge length and the distance between the two sides change board)

说明：  a project on epilipcy

Cbook for beginer aswell as geek

To simulate RS and physical layer cross-layer design mechanism in a fading channel

说明：  人脸检测领域经典的Haar人脸检测。使用OpenCV.(Face Detection classic Haar face detection. Use OpenCV.)

确定性最大似然来进行DOA估计，在本设计中已经进行过仿真了。可以放心使用(For deterministic maximum likelihood DOA estimation, in this design has been simulated)