svmlightToolbox

很不错的matlab电子书籍，内有实例解析，值得推荐。(Matlab very good e-books, there are examples of analysis, worthy of recommendation.)

图像增强最基础的相关函数的介绍，包括给图像加噪声的处理方法等等(Image enhancement of the introduction of the most basic function, comprising administering to the processing method of the image plus noise )

8PSK的软解调算法，可用于软解调和信道译码的软信息输入(Soft input soft information 8PSK demodulation algorithm can be used for soft demodulation and channel decoding)

Find peaks in signal. Look for local maxima and minima. In the window of search find the maximum maxima and the minimum minuma. Return two values which are the maximum and the minimum local maximas

用有限元方法解偏微分方程的算例。区域是[0,1]*[0,1]的正方形区域，区域剖分网格是标准正方形。区域剖分、节点计算、转化成代数方程求解，结果画图显示及txt结果输出，每一步都很详细。(Two-dimensional numerical example of using the finite element method for solving partial differential equations . Region is a [0,1]* [0,1] of the square region, a square region of a standard mesh grid. Regional split, node calculation, converted into algebraic equations, the results display and txt file result output, each step is very detailed.)

Generates the coordinates necessary for plotting an automatically sized 2D spring

永磁同步电机基于svpwm的矢量控制模型，非常实用。不同于spwm(Permanent magnet synchronous motor vector control model based on svpwm, very practical. Unlike spwm)

k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype

详述了物理层，LTE物理层信道与信号，以及整个物理层的过程。(Details of the LTE physical layer, LTE physical layer channel and the signal, and the entire physical layer process.)

matlab的小波边缘提取函数，多层提取，运行后，效果不错，(wavelet edge detection function)