qiugenmusic

直接序列扩频通信系统仿真程序，使用matlab语言设计的程序。并附加有详细的文字说明(Direct sequence spread spectrum communication system simulation program, using matlab design process. And attach a detailed text description)

This is a matlab source code of genetic algorithm for optimizing a features based on KNN classifier... the data is available in matlab environment.This code ready to implement.

hi all........ this is the matlab code for cohenen daubeachies feaueav 9 tap/ 7 tap filter

求最大团的算法，Bron-Kerbosch 算法计算图的最大全连通分量(团clique)，matlab实现(Seeking maximum clique algorithm, Bron-Kerbosch algorithm to calculate the maximum fully connected graph component (group clique), matlab achieve)

马尔科夫调节阀matlab程序,用于自动化方向的安全仪表系统的matlab程序。(Markov tiaojiefa for matlab)

说明：  分叉曲线图，rucklidge系统分岔曲线图(Bifurcation curve, rucklidge bifurcation curve)

用LLE算法来实现高维空间中流行的降维,从而在低位空间中有效表示该流行(to decrease the dimension of manifold embedded in high dimension space )

仿真了跳ccsk软扩频的性能，希望对大家有帮助(ccsk)

MATLAB经典算法程序 经典程序。顶点覆盖近似算法，哈密尔顿回路，画等温线，模拟退火应用，生成全排列矩阵，随机数的产生，最大流和最小截，最短路和次短路，最短路径，最小生成树Prim算法(Classical algorithm MATLAB program)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)