speechprotected1

说明：  mmse与snr的算法仿真，最小均方误差和最大信噪比，获得自适应算法的最优权，实现抗干扰(mmse snr algorithm and simulation, the minimum mean square error and maximum signal to noise ratio, the right of access to optimal adaptive algorithm to achieve anti-jamming)

Segmentation methodes en matlab

脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 (Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification)

matlab对zemax的通讯工具箱。在matlab中可以读取zemax中的数据结果，并进行处理。(It s the toolbox of Matlab, used for connection to zemax. The data from zemax could be read in matlab.)

该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。(The algorithm is based on convergence particle swarm particle basis, according to the theory of quantum physics, particle swarm algorithm has changed the traditional search strategies, allow the particles throughout the feasible solution space search seek the global optimal solution. Meanwhile, the algorithm does not need velocity vector evolution equations, and evolution equations simpler and less parameters and easy to control. Two examples of simulation tests confirmed that the algorithm can effectively solve the economic load allocation performance comparison shows that the algorithm is superior to existing solutions obtained improved PSO algorithm and other optimization algorithms obtained solution.)

runlength coding with zigzag. to run it call zigzag.m

the codes which i sent contains matlab code for encryption using 4 out of 8 code,binary to decimal conversion,decimal to binary conversion,subband coding,upsampling.

在这本实用的指导书帮助下你立即就可使用MATLAB了。《MATLAB揭秘》为学习这种功能强大的数学计算工具提供了高效的、启发性的方法。 本书使用简单易行的风格，一开始介绍了MATLAB基础，你将学习到如何绘制图象，求解代数方程及计算积分，也将学习到如何求解微分方程，求ODE的数值解，使用特殊函数工作。本书含有几百个例子及其详细解说过程，章末带有习题，书末还带最终测试题目，一句话，本书给予你的是MATLAB精华。 (In this practical guide book to help you immediately can use the MATLAB. " MATLAB Secret" To learn this powerful tool for mathematical calculations to provide a highly efficient and enlightening way. The book is easy to use style, the beginning describes the basis of MATLAB, you will learn how to draw images, solving algebraic equations and calculating the points will also learn how to solve the differential equations, and numerical solution of ODE, the use of special function工作. This book contains hundreds of examples and a detailed explanation of the process, with the end of chapter exercises, the book also take the final test at the end of the topic, a word, this book is to give you the essence of MATLAB.)

说明：  滤波器设计示例,详细介绍了在MATLAB环境下进行滤波器设计方法，含有丰富的源代码，并附有每个程序详细的运行结果。(err)

说明：  在MATLAB上所使用的PCA程序，主要應用於過濾相對較不重要的特徵值(dimension)，例如在三度空間的某些點具有(x,y,z)值，因為這些點有共同的一個持徵，就是z值相對於x,y值來得小很多(不明顯)，所以就以X,Y軸來表示這些點。此時就達成去除掉z的特徵值(dimension)。 (MATLAB used in the PCA procedure, mainly used in filtering relatively unimportant eigenvalue (dimension), for example, in some points with three-dimensional (x, y, z) values, because these points have a common one sign holders, that is, z values compared with the x, y values much smaller than (not obvious), so on to X, Y axis to express these points. Reached at this time to get rid of z eigenvalues (dimension).)