beiyesijuece_matlab

this mdl shows the non linear characteristics of the fuzzy controller

这个是利用MATLAB实现的KNN算法的实现(This is achieved using MATLAB algorithm to achieve KNN)

周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。(Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the result is an estimated power spectral density of the signal sequence of the real spectrum and spectral convolution window, resulting in the generation of errors. The procedures were designed periodogram, maximum entropy power spectrum estimation and the Welch method and their comparison, the maximum entropy power spectrum estimation purpose is to maximize the retention of truncated after the loss of the " window" than the information signal, the entropy of the estimated spectrum maximum.)

用于检验两个时间序列是否具有格兰杰因果关系(Used to test whether two time series have Granger causality)

移动通信系统中，Rayleigh衰落信道的matlab仿真(Mobile communication systems, Rayleigh fading channel matlab simulation)

计算机图形图像设计课程理论，关于三次有理b样条曲线matlab实现，程序代码。(Computer graphics graphic design curriculum theory, on the three rational b-spline curve matlab realize, program code.)

MATLAB PROGRAM FOR INTEGRATED STATE FEEDBACK AND STATE OBSERVER

这里给出了双向中继系统基于AF协议下的relay beamforming 优化算法，仿真重现了一篇transactions上的文章(Relay beamforming simulation of two-way relay communication under AF protocol, the simulation is for a paper on transactions, it put forward three kinds of optimization algorithm.)

时频峰值滤波 用于处理地震信号 这个是以雷克子波为例子的(Time-frequency peak filtering for processing seismic signals as an example of this is the wave Leike Zi)

test2: 一、 基本最小二乘法一次算法 二、 基本最小二乘法递推算法 三、 最小二乘遗忘因子一次完成算法 四、 最小二乘遗忘因子递推算法 五、 最小二乘限定记忆算法 六、 最小二乘偏差补偿算法 七、 增广最小二乘算法 八、 广义最小二乘算法 test3: 一、 辅助变量自适应滤波算法 二、 辅助变量纯滞后算法 三、 辅助变量Tally原理算法 四、 多级最小二乘算法 五、 各类改进最小二乘算法的特点 test4: 1、 第二类随机性辨识问题的梯度校正 2、 随机牛顿法 test5: 1、 递推的极大似然估计 2、 预报误差参数辨识 test6: 1、 根据Hankel矩阵秩估计模型阶次(弱噪声) 2、 根据Hankel矩阵秩估计模型阶次(强噪声) 3、 利用行列式比估计模型阶次（白噪声） 4、 利用行列式比估计模型阶次（有色噪声） 5、 利用残差的方差估计模型阶次（白噪声） 6、 利用残差的方差估计模型阶次（有色噪声） 7、 AIV定阶法（白噪声） 8、 AIV定阶法（有色噪声） test7: 1、 一阶惯性+纯滞后环节-----两点法 2、 面积法1 3、 levy法 (test2: First, the basic method of least squares algorithm once Second, the basic recursive least squares algorithm Third, once the forgetting factor least squares algorithm Fourth, the forgetting factor recursive least squares algorithm Fifth, the least-squares algorithm limited memory Six , least squares error compensation algorithm Seven , extended least squares algorithm Eight , generalized least squares algorithm test3: An auxiliary variable adaptive filtering algorithm Second, the auxiliary variable time delay algorithm Third, the principle of auxiliary variable algorithm Tally Fourth, multi-stage least squares algorithm Fifth, the least squares algorithm to improve the characteristics of various types of test4: 1, the second class of stochastic gradient identification problem corrected 2 , randomized Newton test5: 1, the recursive maximum likelihood estimation 2, the prediction error parameter identification test6: 1 , according to the Hankel matrix rank est)