suijiashu

基于GMM说话人识别特征提取 1、需要有语音工具箱 2、训练和测试包含了加噪的代码 3、包含噪声数据 4、没有包含语音数据 5、语音数据可以自行录制或者找一段语音(Extraction Based on GMM speaker recognition feature A need to have a voice toolbox 2, the training and testing included adding noise code 3, including noise data 4, does not contain voice data 5, the voice data can be recorded on their own or find a voice)

Tool for programing matlab 6.0

一种比较好的抗锯齿算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.(A better anti-aliasing algorithm Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.See attached screenshot for a demonstration. More examples included in the code, just run help myaa. Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish (test.m, opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.)

说明：  1、指标信号，仅当参考；理解理念，才更重要！指标中大阳支撑的理念，请大家适当参考；其余提示信号，均可只当戏玩，不可生搬硬套！ 2、【烧香拜佛】指标极其简单，不可单独使用，请结合盘面热点、板块龙头等情况，综合考虑目标的机会。 3、该指标对于进入主升浪、台阶式上涨的目标，最为有效！ 下面给出大智慧L2、飞狐、通达信三种常用软件的版本源码，请需要的朋友适当参考。　(1, indicator signal, only when the reference understand the concept, it is more important! Indicators support the idea of the sun, please refer to the appropriate the remaining prompts signal, can only play when the play, not rote! 2】 【pray to Buddha indicator is extremely simple, is not alone, please combine disk hot plate leading, etc., considering the target opportunity. 3, the indicator for access to the main upward move, stepped up the goal, the most effective! Here are great wisdom L2, flying fox, accessible version of the letter are three commonly used software source code, make a friend in need the appropriate reference.)

kalman滤波实现目标跟踪，对一个二维物体的跟踪(kalman filter)

一个关于JEPG2000的MATLAB 源码，功能基本上可以实现 ，但也有一定的不足，希望大侠多多指教(About JEPG2000 MATLAB source code, the basic function can be achieved, but there is a certain lack of hope heroes exhibitions)

alpha稳定分布的函数。该分布是一种连续概率分布，其概率密度比高斯分布概率密度有更厚的拖尾，是一类适用范围很宽的随机信号模型，比高斯分布有更广泛的适用性。(Alpha stable distribution function. This distribution is a continuous probability distribution, the probability density are thicker than gaussian probability density trailing, random signal model is a kind of very wide application scope, has wider applicability than gaussian distribution. )

说明：  遗传算法优化BP神经网络程序,很不错的，值得学习(GA for BP neural network training)

智能控制，遗传算法，神经网络算法，预测控制，模糊控制(intelligence control system，genetic algorithm，Neural Network Algorithm，predictive control)

本程序是关于常微分方程初值问题数值解的欧拉算法及线性多步法的matlab代码，对初学者有帮助，例题用的李荣华的微分方程数值解法第一章的习题(This program is about Euler algorithm for numerical initial value problem of ordinary differential equations and linear multistep method matlab code, useful for beginners, examples of Li Ronghua s numerical solution of differential equations of the first chapter exercises )