QAM_AWGN_Fading

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

tumor d seg The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.Image segmentation is typically used to locate objects and boundaries

说明：  利用差分法，将数据拟合，从而可以更好的辨识非线性系统的损失位置。(By using the difference method and fitting the data, the loss location of the non-linear system can be identified better.)

chaoslyapunov指数程序是基于非线性三维系统所得，具体模型见东西部能源供需系统文章里，可以得到此系统混沌，因为李亚普诺夫指数有大于零的情形()

基于羽田孜模型的预知的路径损耗 基于爱德华兹和德金模型的路径损失预知 基于帕森斯与伊布拉因模型的路径损耗预知(Tsutomu Hata model based on predictable path loss payments based on Edwards and the German model to predict the path loss model based on Parsons and Ibraim predict the path loss)

说明：  阵列信号处理-空间谱估计原理的基本算法-ESPRIT算法(Array signal processing- the principle of spatial spectrum estimation of the basic algorithm-ESPRIT algorithm)

说明：  matlab的svm中使用的交叉验证函数（kfold），一般libsvm数据包中没有，需要自己加入(The svm matlab to use the cross-validation function (kfold), general packet libsvm no need to add yourself)

modified hausdorff distance for comparing two point sets

adaboost code for training and testing see instructions inside

matlab编程学习经典材料！！！！！！！！！！！！！！！！！！(Matlab programming learning classical materials!!!!!!!!!!!!!!!!!!)