Basic

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

可自由选择贝叶斯正则化算法或者是L-M 优化算法的神经网络matlab代码(The freedom to choose the Bayesian regularization algorithm or LM optimization algorithm neural network matlab code)

Used in SVM Classification

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

说明：  粗糙表面 G-W模型的接触刚度仿真程序(Rough surface Contact stiffness simulation program for G-W model)

lasso算法，分为很多子类，可以单独运行(lasso algorithm)

计算你所指定的两个时间（通过Calender类型传入），之间所间隔的天数。指定一个时间的话则计算你指定的时间到当前时间的天数，在进度控制方面的程序中可能有用哦(Calculation of your two time specified (through the Calendar type imported), the interval between the number of days. Specify a time, then the calculation of the time you specify to the current time the number of days, in the progress of control procedures may be useful Oh)

matlab程序，实现fir各种窗函数的滤波 iir各种类型的滤波(matlab procedures fir achieve a variety of window functions of various types of filtering IIR filtering)

matlab 用于sis模型的研究 一篇论文 希望有用(matlab sis)

This paper will concentrate on investigating the effects on capacity associated with the ACI scenario .