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tekstovi.net html tekst -->txt 03.02.2008. tekstovi15.m

这是关于智能控制及其MATLAB实现的一本电子书，希望喜欢(This is on the intelligent control and its MATLAB realization of an e-book, hoping like)

Matlab入门资料，关于Matlab的一些基本运用。(rumenziliao)

说明：  有关自动控制方面的系统仿真的响应，用matlab仿真程序(the automatic control system simulation of the response, using Matlab simulation program)

伪随机数产生程序，MATLAB开发的源代码(Pseudo-random number generation program, MATLAB source code development)

DMM IOMMU driver support functions for TI OMAP processors.

让你熟悉matlab六的具体用法操作，从初学者到入门的好的教材(You are familiar with the specific use matlab 6 operation, from beginners to get into good teaching materials)

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. )

QPSK调制+costas载波同步，为matlab源代码！！！为学习和参考MATLAB通信原理方面调制与解调提供依据！(The QPSK modulation+costas carrier synchronization)

使用主成分分析对高维数据进行降维，程序包含了降维的过程和结果(Using PCA to reduct dimensionality for data. the program contains the process and solution.)