matlab语音信号分析与合成（第2版）程序

一个脉冲序列生成器，用于超宽带通信 一个脉冲序列生成器，用于超宽带通信(A pulse sequence generator for ultra-wideband communications of a pulse sequence generator for ultra-wideband communications)

用于求取一段时间信号序列的求取自相关函数、功率谱密度(Obtaining autocorrelation function for obtaining a period of a signal sequence, power spectral density)

快速扩展随机生成树算法，Matlab实现界面友好，通过反复训练模板能有较高的识别率，重要参数的提取，ICA（主分量分析）算法和程序，粒子图像分割及匹配均为自行编制的子例程，通过虚拟阵元进行DOA估计。( Rapid expansion of random spanning tree algorithm, Matlab to achieve user-friendly, Through repeated training LkOUacVlate have higher recognition rate, Extract important parameters, ICA (Principal Component Analysis) algorithm and procedures, Particle image segmentation and matching subroutines themselves are prepared, Conducted through virtual array DOA estimation.)

数学优化工具箱，可以解决计算机视觉中的三角测量等困难问题。(Mathematical optimization toolbox, can be solved in computer vision, such as the triangulation problem.)

cstering in mtlb.to cstetring in

已知自变量t，因变量y，y和t满足一下函数式： dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理） 已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)

这个包，包含了好多比较经典的MATLAB程序 这是本人收藏多年的成果，现在上传给大家分享(This package contains a lot of comparison classic MATLAB program which is the outcome of my collection for many years, and now upload to the U.S. to share)

blurring and flat region filtering and noisy image

粒子群优化最优路径算法，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优(Similar to simulated annealing (SA), particle swarm optimization (PSO) optimizes the optimal path by iteratively searching for the optimal solution from a random solution. It also evaluates the quality of the solution by fitness, but it is simpler than the genetic algorithm rules. It does not have the crossover and Mutation operations of genetic algorithm. It finds the global optimum by following the best values currently searched.)

用免疫克隆遗传算法优化一元函数，包括主程序和子程序，直接运行出结果。(With immune clonal genetic algorithm to optimize a function, including the main program and subroutine, run directly from the results.)