huiguifenxi

这是一本有关MATLAB 的参考书，适合于使用MATLAB 或正在打算使用MATLAB 的读者(This is one of the MATLAB reference for the use of MATLAB or MATLAB is intended to use the reader)

很实用的光伏并网发电系统模型建模及相关分析。(PV moedl)

The primary objective of the QRD-M detector is to identify the candidate list. The QRD-M algorithm is a breadth-first tree search. It views all the branches it will ever consider for a given stage of the detection tree and then rejects all but the Mi best nodes at the i-th detection stage before continuing on to the next stage.

dspbuilder 用户手册，内有dspbuilder 使用的一些介绍(dspbuilder notebook)

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. )

Finite Difference Programming for Matlab in 3D

一维等离子体FDTD的Matlab源代码(One-dimensional plasma FDTD source code in Matlab)

小波域理想濾波器，用了WACEREC2和RICE小波工具包兩種方法實現(wavelet ideal filter using waverec2 & rice wavelet toolbox)

模糊PID控制，大家看看，我不能运行出图片，为什么啊(PID Control)

人工免疫系统工具箱，很给力，直接调用就可以了(toolbox)