GM-model

matlab procedures for variables

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(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。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)

我自己写的小波变换，有低频系数图像，水平高频图像，垂直高频图像，希望对大家有帮助(I wrote it myself wavelet transform, there are low-frequency coefficient images, the level of high-frequency images, the vertical high-frequency images, we hope to help)

无约束条件的最优控制，并且举例说明程序如何运行(Unconstrained optimal control, and examples)

说明：  基于蚁群算法的三维孔道路径规划的算法程序(Three-dimensional aperture path planning based on ant colony algorithm (source code - all 5 M files))

说明：  matlab经典算法程序的源代码，包括差值、拟合、绘图、解方程等。(classical algorithm matlab program' s source code, including the difference, fitting, drawing, solving equations and so on.)

卡尔曼滤波器的操作包括两个阶段:预测与更新。在预测阶段,滤波器使用上一状态的估计,做出对当前状态的估计。在更新阶段,滤波器利用对当前状态的观测值优化。(Kalman filter operation consists of two stages: prediction and update. In the prediction stage, the filter is estimated using the previous state, to make an estimate of the current state. In the update phase, the filter use observations on the current state of the optimization.)

是认知无线电场景下，基于博弈论的频谱分配的matlab程序(Cognitive radio scenario, based on game theory matlab spectrum allocation process)

利用二维时域有限差分法纵向TE波模拟钻井(Using two-dimensional finite difference time domain simulation of drilling TE wave)

SCE 的源代码，希望大家多支持..........................(SCE' s source code, I hope you will support ..........................)