c3aa9cc2142b

接收端对有干扰污染后的信号进行对应解码，并计算误码率； 将输出仍然排列为n列的矩阵，计算监督矩阵H，用编码矩阵和监督矩阵相乘判断是否有误码，并根据错误图案纠正误码(The receiving end of pollution have interference signals corresponding to decoding, and calculate the bit error rate the output is still ranked as the n column matrix, computing the supervision matrix H, with matrix encoding and monitoring to determine whether matrices have error, and in accordance with error patterns to correct error)

双边滤波的matlab源码，可用于灰度或彩色图像，很经典。(Bilateral filtering matlab source code, can be used for grayscale or color images, very classic.)

说明：  基于改进的C-C方法的相空间重构参数选择5.rar(CC based on improved methods of phase space reconstruction parameters 5.rar)

Construct a Low Density Parity Check Matrix for the three code rate of DTMB standart of TDT. The data has obtain of GB2006-20600 paper.

模糊层次分析法的原始程序，该程序实现了输入模糊数输出相对权重的功能，可以被很好使用 (FAHP original program that implements the input fuzzy output function of the relative weight that can be well used)

kass active contour, this program use an image which is a flower for example and use the kass algorithm to find the border of the image

MUL CODE FOR MATLAB,,,easy to implement

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.)

IGBT的boost电路，最简单的，适合初学者(IGBT in the boost circuit, the most simple, suitable for beginners)

FrameWork logic user guide for Innovative integration X5 EVM