shiyan4

说明：  分类器 最小分类错误的分类器 模式识别的重要应用领域(Minimum classification error classifier classifier)

基于量子遗传算法的matlab程序，可以在matlab上顺利运行(Based on quantum genetic algorithm matlab program can run smoothly in matlab)

说明：  MATLAB与C#VisualC++语言混合编程的实现(Realization of hybrid programming language of MATLAB and C# VisualC++)

系统辨识与自适应控制程序 ，一个很小的.m文件(System identification and adaptive control procedure, a small. M file)

隔离型单端反激型直直变换器的Matlab/simulink仿真例程，已检测运行无误。(Isolated single-ended flyback straight converter Matlab/Simulink simulation routines, has been detected running correctly.)

说明：  话到变送器和其计算复杂度 类似于MRRC。比起MRRC,如果总数 辐射功率是保持不变的,发送的多样性 方案具有3-dB不利(less system, using two transmit antennas at the base stations instead of two receive antennas at all the remote terminals. The scheme does not require any feedback from the receiver to the transmitter and its computation complexity is similar to MRR)

data mining agglomerative clustering

有限元方法计算中3角形单元3节点模型建立，可解决平面应力和应变问题(Finite element method to calculate the Triangle 3 nodes model, which can solve the problem of plane stress and strain.)

用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。(Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal.)

电子通信系统的建模与仿真 第6章 信号处理 6.1 MATLAB的数据可视化表达 6.2 MATLAB仿真中的信号处理 6.3 信号特征参数的计算 6.4 信号的频谱分析? 6.5 线性系统 6.6 数字滤波器设计与实现 (Electronic communications system modeling and simulation of signal processing Chapter 6 of the 6.1 MATLAB data visualization Expression 6.2 MATLAB simulation of signal processing 6.3 signal characteristic parameters for calculating the spectrum analyzer 6.4 signal ? 6.5 Linear Systems 6.6 Digital Filter Design and realize)