MST_Kruskal

make a transversal channel take a three tap chanel [1,1/4 1/2] and data generate by BPSK(1 or -1)(make a transversal channel take a three tap chanel [1,1/4 1/2] and data generate by BPSK(1 or-1))

说明：  pattern recognition MATLAB5

信号处理,进行信号检测与处理，通过设定threshold来进行信号检测的可信度调整(Credibility adjustment signal processing, signal detection and processing, by setting threshold for signal detection)

关于调频信号的仿真的演示,利用matlab实现卫星调频信号的仿真和演示(Demo on the FM signal simulation using matlab satellite FM signal simulation and demonstration)

利用BBO算法来优化网络负载均衡，达到很好的效果，比传统方法优越。很适合正在用智能算法优化网络映射的学者。(BBO algorithm to optimize the use of network load balancing, to achieve good results, superior to traditional methods. It is optimized for network mapping scholars intelligent algorithms.)

use the k-means algorithm to cluster pixels into a number of clusters representing the texture regions.

在matlab中，采用模糊神经网络对监控水资源(In matlab using fuzzy neural network monitoring water)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

国外的一篇关于飞行器滑模控制的文章，写的比较好，对我启发比较 (Abroad an aircraft sliding mode control article, write better, I am inspired comparison)

该算法为基于克隆选择原理的人工免疫算法。算法有三部分，第一部分为传统的遗传算法，第二部分CSA算法，两方法对一些函数求极值，可比较各自的特点。(The algorithm is based on the principle of artificial immune clonal selection algorithm. Algorithm has three parts, the first part of the traditional genetic algorithm, the second part of the CSA algorithm, two methods for some function extreme, can compare their characteristics.)