rom_mif_sin8w10d

a matlab function that can do many fuction on drowing

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

非常有用的MATLAB与VisualC__NET混合编程介绍(MATLAB is very useful to introduce programming and mixed VisualC__NET)

Why use C/C++ with Matlab? • Matlab can be slow • C++ can be fast – How can we integrate C++’s speed with Matlab’s convenience? Matlab’s convenience? • Goal: -Implement critical functions with (fast) C++ code, and use (slow) Matlab code for data structure management (which can be difficult/annoying in C++)

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adaboost ALGORITHM FOR CLASSIFICATION

延时求和算法，DOA算法，空间波束方向，面阵列，线阵列，原创(time delay algorithm)

MATLAB自已编的二维DLA，基于ORL人脸数据库，效果不错。(MATLAB own series of two-dimensional DLA, based on the ORL face database, good results.)

asynchronous startup dune machien directly connected to the network

MIT--航空航天工程中的计算方法_概率论方法实例——涡轮叶片中的热传导问题 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。(MIT- Aerospace engineering calculation methods of probability theory _ instance- turbine blade heat conduction problem in the MIT Open Course- Aerospace engineering calculation methods for this course in aviation and aerospace engineering calculation methods appear of getting started. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)