calcshi

混沌时间序列预测程序与文档 包括CC方法、GP方法、Lyapunov指数预测等(Chaotic time series prediction method procedures and documentation, including CC, GP method, Lyapunov index prediction)

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. )

说明：  有用的MATLAB 数字图像处理说明 有兴趣看看(MATLAB useful digital image processing that will look with interest at)

使用5个隐含节点的ANN模型对污水生化处理中的沉速进行拟合，matlab调试通过。(The five hidden ANN fit the model of the settling velocity of the sewage biochemical treatment)

vertical handoff in heterogeneous wireless network

C++反射的一种简单实现 A simple way to make cpp reflection real(A simple way to make cpp reflection real)

face detection.matlab programs of face detection implementation.

本程序是混沌现象测试的源代码,揭示了混沌系统的特性(This procedure is the chaos phenomenon test source code.Characteristics of chaotic system are disclosed )

完备图像稀疏表示是一种最新的图像表示模型，采用过完备字典中原子的线性组合形式实现图像的稀疏表示．传统 的过完备图像稀疏表示模型采用重建误差的平方和作为保真项．该保真项没有充分考虑到人眼对图像的感知特性，无法度量图 像中边缘、轮廓、纹理等局部几何结构的变化．本文基于过完备稀疏表示理论思想，建立了新的稀疏性正则化的图像稀疏表示模 型．模型中的正则项约束图像表示系数的稀疏性，保真项采用更符合视觉感知的结构相似性度量．基于正交匹配追踪算法，提出 了基于结构相似度的正交匹配追踪算法．实验结果表示，新的模型能够更好地重构图像的结构信息，获得更好的重建视觉效果． (Image Sparse Representation Model bed StmctIlral SiIIIilarity )

说明：  肌电信号处理、相关的带通滤波、特征提取以及预处理降噪(EMG signal processing, related bandpass filtering, feature extraction, and preprocessing noise reduction)