accumTS

matlab的一些优化函数说明 我们学校用的。。应该不错(matlab optimization function shows some of our school use. . Should be good)

实现小车的自动避障功能，当遇到障碍物是，自动改变路径，绕过以后，返回原路径前行(Realize the functions of the handicapped, when faced with obstacles, automatically alter path round, returns the path through)

Cross-correlation of several signals

关于matkab的一点资料，是小弟精心收集的(Information on the matkab point is the collection of younger brother)

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. )

Power method of solution for highest/lowest eigen value.

通过matlab仿真实现香浓限的逼近，并进行比较。(Matlab simulation of the Shannon limit approaching, and for comparison.)

一个关于多目标优化的遗传算法参考程序,数值方法求解可行解(About multi-objective optimization genetic algorithm reference program)

Window下c程序设计的初级教程（含代码），c程序员在windows下开发程序应该阅读的第一部资料(Programming windows via C)

利用matlab实现了系统辨识与自适应的仿真(Achieved using matlab simulation of system identification and adaptive)