humoment

本文主要介绍了用模糊自适应卡尔曼滤波技术实现惯导和GPS的数据融合。(This paper presents a fuzzy adaptive Kalman filter technology for inertial navigation and GPS-data fusion.)

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 4） 根据2）中的公式，并利用3）中产生的S(n)，在1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法， LMS法时H(n)的在叠代过程中的轨迹曲线。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对 应S(n)的某一次的一次实现）和e(n)波形；某一次实现的结果并不能从统计的角度反映实验的结果的正确性，为得到具有统计特性的实验结果，可用足够多次的实验结果的平均值作为实验的结果。用MATLAB计算并画出LMS法时J(n)的100次实验结果的平均值随时间n的变化曲线。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)

RUNGE法求解阻尼振动问题，给出物体的运动方程及驱动力，求出物体的振动曲线（附报告）(Solving RUNGE vibration damping, given the equation of motion of objects and driving force, find the object of the vibration curve (with report）)

基于蚁族算法的二维路径规划算法,寻找最短路径(Dimensional path planning algorithm based on ant algorithm)

很不错的一个软件，处理图像拼接的sift算子，可能里面还有那么一点点小错误，但加油可以行的 (There is a small error, but should be able to sift operator)

The program in Simulink to generate turbo codes

使用数学矩阵软件Matlab进行字符识别可视化编程(visual programming of Character recognition)

这是ofdm的毕设报告，里面有相应知识的学习最后还附加了ofdm的仿真，同时还有仿真图的分析(This is the complete set of ofdm report, which has the appropriate knowledge, learning and finally added ofdm simulation, as well as the analysis of simulation diagram)

说明：  （蒙特卡洛方法） 求出四分之一圆占正方形的比例。随机投点P(x,y)于正方形，π/4的近似值为落在四分之一圆内的点数与总投点数的比值。随机投点次数分别为10000次和50000次，计算π的近似值。 ((Monte Carlo method) are obtained accounting for a quarter of a round square ratio. Voted random point P (x, y) in the square, π/4 for the fall quarter of the approximation of the points won and the ratio of the total vote points. The number of random points, respectively, voted for the 10000 and 50000 times, the calculation of the approximation of π.)

高层绘图操作,实验六，高层绘图操作，matlab(I OR ghkvcafdsliguhnv,oiwethg)