inflection

linear SRC for sample rate conversion

该程序是用matlab写的一个利用遗传算法的选择性集成算法(The program is written in a matlab genetic algorithm using selective Ensemble Learning algorithm)

GLVQ neural network, this method is suitable for the two classification results of data processing

这是关于蓝牙跳频通信系统的仿真设计，利用MATLAB的SIMULINK仿真模型，分为跳频系统传输部分、FH-CPM Modulaor子系统、信号接受部分、FH-CPM Demulator子系统、Dis-assemble Packet子系统、频谱分析模块、误码分析模块共七个模块，共有6个MDL文件。(This is about the Bluetooth frequency hopping communication system simulation design, the use of MATLAB-SIMULINK simulation model is divided into frequency-hopping system transmission parts, FH-CPM Modulaor subsystem, signal receiving part, FH-CPM Demulator subsystem, Dis-assemble Packet sub- system, spectral analysis module, the error analysis module of seven modules, a total of six MDL file. )

自适应区域直方图均衡，用于图像增强，适用于超声图像，对超声图像的灰度增强又很好效果。(regional adaptive histogram equalization for image enhancement applies to ultrasound images, Ultrasound images of the Gray also enhanced good results.)

说明：  用双音频输入重新仿真，实现频谱扩展功能，产生滤波后高斯过程功率谱密度和相关高斯序列时域值(Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence)

一种未知输入/输出的解耦方法，可用于控制器的设计、故障诊断系统设计等(An unknown input/output decoupling method can be used for controller design, fault diagnosis system design)

CentralDifference code for multi dimention strucures

SC-FDMA性能分析，及与FDMA误码率比较(SC-FDMA performance analysis, and compared with FDMA for BER)

1.采用C均值聚类算法对男女生样本数据中的身高、体重2个特征进行聚类分析，考察不同的类别初始值以及类别数对聚类结果的影响，并以友好的方式图示化结果。 2.采用分级聚类算法对男女生样本数据进行聚类分析。分别尝试采用身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征，以及身高，体重2个特征进行聚类，对比聚类结果，并以友好的方式图示化结果 (1. The use of C means clustering algorithm on sample data for boys and girls in the height, weight 2 characterized in cluster analysis to investigate the initial values of the different categories and the effect on the number of classes of the clustering result, and in a friendly way of illustration result. 2. Using hierarchical clustering algorithm to male and female students sample data clustering analysis. Try both using height, weight, like math, like literature, like sports, like pattern recognition feature a total of six, as well as height, weight, two features clustering, comparing clustering results, and in a friendly way of illustration of the results)