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聚类算法DBSCAN和FCM算法实现，欢迎大家下载(DBSCAN clustering algorithm and the FCM algorithm, are welcome to download)

海伦法分析3元阵列天线的方向图，增益，电流分布，三维方向图(Helen Analysis of 3 per array antenna pattern, gain, current distribution, three-dimensional pattern)

数字信号处理中的适应信号处理算法。有两个文件，分别为LMS和RLS算法，在每个文件里有详细的注释(Digital signal processing, adaptive signal processing algorithms. There are two documents, namely LMS and RLS algorithm in each file with detailed comments)

简单遗传算法matlab文件?虻ヒ糯?惴╩atlab文件(Simple genetic algorithm matlab document? Tabanidaeヒ╩ atlab guessing ? waxy paper)

本程序是MATLAb 编程环境开发，可以进行基本的NMF分解，比传统的分解方法有更大改进(This program is MATLAb programming environment and development, can be the basic NMF decomposition, than the more traditional methods to improve the decomposition)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

MPC coding for CSTR

Matlab Similink 802.11a simulation transmition chanel propagation reception egalitor coding source chanel codng

分别采用维纳滤波和l-d算法设计一个6阶前向线性预测器，给出设计过程，matlab程序。 要求：1、得到预测器的权向量和预测误差功率 2、画出预测阶数和预测误差功率的曲线 3、在使用l-d算法时，假设 ， ，…… 未知 (Wiener filter and were used to design a 6-ld algorithm prior to the linear predictor order, given the design process, matlab program. Requirements: 1, are predictors of weight vectors and the prediction error power of 2, draw the prediction order and the prediction error power, Curve 3, in the use ld algorithms, assumptions, ... ... unknown)

混沌chen系统的仿真代码，用预估校正法编写(Chaos chen system simulation code, written in predictor-corrector method)