emgmgm

Standard analytic micromechanics analysis using the matlab programming language.

splu Square PA=LU factorization *with row exchanges*.

主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 (Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction)

this file desribe the propagation of mode in few mode fiber

说明：  紧支撑小波基构造课程资料 以构造紧支撑正交db小波为例(wavelet)

置信传播是一中很有效的算法，将其应用于检测，通过在检测与译码之间迭代交换传递信息，并有选择地通过单边消息传递来更新信息，降低系统实现的复杂度。 (Belief propagation is a very efficient algorithm to be applied to the detection, the information transmitted by the exchange between the iterative detection and decoding, and to update the information, to reduce the complexity of system implementation is selectively transmitted through unilateral messages.)

music change speed中，jiasu.m是让一首音乐旋律速度加快播放，jiansu.m是让一首音乐旋律速度减慢播放，两个情况下都不改变音乐的基调。(Music change speed, jiasu.m is to allow a faster melodic playing, jiansu.m is to make a musical rhythm to slow down play, the two cases do not change the tone of music.)

说明：  独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。(Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.)

说明：  对一副图像进行对数极坐标变换，为fourior-mellin变换作准备，将旋转参数转化为平移参数(Images on a logarithmic polar coordinate transformation for fourior-mellin transformation to prepare the rotation parameters into the translation parameters)

一个简单介绍如何使用Matlab生成HDL代码，如何让使用Matlab和Modlsim联合仿真(A brief introduction how to use the Matlab generated HDL code, and how to make co-simulation using Matlab and the Modlsim)