EMD1

matlab中关于矩阵的分解，行列式，逆。矩阵的特征值，矩阵函数，奇异值分解，最小二乘法，函数的导数以及偏倒数，梯度，切平面以及积分与卷积等的原理，以及具体程序编写的例子(matlab on Matrices, determinant, inverse. Eigenvalues, matrix functions, singular value decomposition, least squares, and the partial derivative of the function inverse, gradient, tangent plane, and the principle of integration and convolution, etc., as well as specific examples of programming)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

用lin法求高阶方程，可解特征方程, 可以是两队复根，可以是一对复根和两个实根，也可以是四个实根。(lin method, solve latent function)

用于光电集成来耦合光，计算光栅偶和效率，运用FDTD算法的一个matlab编程(Coupling Efficiency)

音频系统，coding, modulation, AWGN, 通过最小距离探测码元，解码，播放。根据不同的SNR，测试在多小的SNR情况下，人耳能识别音频。(Audio systems, coding, modulation, AWGN, by minimizing the distance detection symbol, decoding, playing. Depending on the SNR, the test in the case of multiple small SNR, the human ear can identify audio.)

推荐一个实用的Matlab模拟退火工具箱，里面含有非常全的matlab语言模拟退火算法,包括了Matlab函数和6个例程。 (Recommend a practical simulated annealing Matlab toolbox, which contains a very wide of the simulated annealing algorithm matlab language, including the Matlab function and six routines.)

Simulink简明教程，快速入门，建模方法，运行仿真等(Simulink simple tutorial)

纠正了由于存在复指数而导致的图像重叠问题(Corrected result due to re-index the images overlap )

gilbert strang matlab Computational Science and Engineering

it is a full project report on Performance Analysis of Spatial Channel Model in fast fading