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设计一个60阶的滤波器，要求设计的滤波器0~π/8的幅度为1，在π/8~2π/8的幅度为1/2，在2π/8~4π/8的幅度响应为1/4，在4π/8~6π/8的幅度响应为1/6，在6π/8~π的响应为1/8，并且画出理想滤波器和设计得到的理想滤波器的幅度频率和响应进行比较(Design of a 60-order filter designed filter 0 ~~ π/8 the amplitude is 1, the π/8 ~ 2π/8 the amplitude is 1/2, 2π/8 ~ 4π/8 amplitude response is 1/4, 4π/8 ~ 6π/8 the amplitude response of 1/6, 6π/8 ~ π response of 1/8, and draw the ideal filters and design of an ideal filter amplitude frequency and response to compare)

very interesting code on vehicle dynamic, with simulink interface

径向基神经网络 matlab程序 附有多个例程并有所需数据的mat文件(RBF neural network matlab program )

Maximum likelihood estimation for normal

This matlab code calculates the V curves of Synchronous machine

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

基于MATLAB数字图像处理源码第11章(MATLAB digital image processing source code Chapter 11)

自己搭建的matlab/simulink风电并网仿真系统，可以运行(Build their own matlab/simulink wind power simulation system that can run)

数学建模2013B—第一题答案,自己编写，不狗血，带原题文件(Mathematical modeling of 2013 b- the first answers, write your own, not the dog blood, with the original file. )

通过9位置法进行加速度标定，采集旋转数据进行陀螺仪标定以及磁力计的标定，以达到减小误差为后续姿态跟踪或解算提高精度(IMU calibration)