speakerrecognition

glcm examples in matlab

说明：  多项式拟和阶跃函数的小程序！对于多项式反演有一定的启发(Polynomial to be a small step function and procedures! Polynomial inversion for some inspiration)

matlab命令代码大全 附所有的系统函数 祝你成功 哈哈哈(matlab Code Complete)

产生模拟信号的程序，是我自己写的，毕业设计的时候用到的(Procedures generate analog signals that I wrote it myself, when used in graduate design)

ofdm系统基于matlab的m语言仿真(OFDM system is based on the m language matlab simulation)

matlab基础教程，里面有教程，习题，等等(matlab-based tutorial, which has tutorials, Exercise, and so on)

这些文件夹里面包含着卷积码、调制、加高斯白噪声的程序、多径衰落径道的程序。。对那些初学者是很有帮助的。。。(The folder contains a convolutional coding, modulation, plus Gaussian white noise process, multi-path channel fading process. . Is very helpful for those beginners. . .)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

对随机高斯白噪声进行仿真实验，获得一组图像，能直观的理解噪声性质(Simulation experiments, to obtain a set of images, intuitive understanding of the noise characteristic of random white Gaussian noise)

codes for MOM of microstrip