Sheffield

改良的离散余弦变换MDCT,可用于MP3编解码过程中的MDCT使用。(modifed discrete cosine transform)

一种流形学习算法（很好用），解耦，恢复原信号，小波包分析提取振动信号中的特征频率。( A fluid manifold learning algorithm (good use), Decoupling, restore the original signal, Wavelet packet analysis to extract vibration signal characteristic frequency.)

MATLAB时频工具箱，比较完整，欢迎大家下载(Time-frequency MATLAB toolbox, relatively complete, welcome everyone to download)

说明：  同步电机闭环速度调节SIMULINK仿真模型 已经MATLAB验证(Synchronous motor closed-loop speed regulation SIMULINK simulation model validation has MATLAB)

Mathematical modeling of DC Motor Model using current and speed equations

说明：  给出了五对角方程组的Matlab求解编程，并且附有误差函数，实用性强(solve for Pentadiagonal equations using matlab language.)

扩展卡尔曼滤波 无迹卡尔曼滤波 粒子滤波(EKF UKF PF)

MATLAB 2012a 的用户使用手册，英文版(MATLAB 2012a users manual, in English)

DTW算法的程序，申请两个n*m的矩阵D、d,分别为累积距离和帧匹配距离。这里n和m为测试模版与参考模版的帧数。然后通过一个循环计算两个模版的帧匹配距离d。接下来进行动态规划，为每个格点 （i，j）都计算其三个可能的前续格点的累积距离D1，D2，D3。考虑到边界问题，有些前续格点可能不存在，因此加入一些判断条件最后利用最小值函数min()，找到三个前续格点的累积 距离作为累积距离，与当前帧的匹配距离d（i，j）相加，作为当前格点的累积距离。该计算过程一直达到格点（n，m），并将D（n，m）输出，作为模版匹配的结果。(DTW algorithm procedures, apply two n* m matrix D, d, respectively, accumulated distance and frame matching distance. Where n and m is a reference test pattern and the template frames. Then through a loop to calculate two frames template matching distance d. Next, dynamic programming, for each grid point (i, j) are calculated from the cumulative D1 before the renewal of its three possible lattice point, D2, D3. Taking into account the boundary problem, some former continued grid point may not exist, so add some conditions to determine the final use of the minimum function min (), found three former continued accumulation of grid points cumulative distance as the distance from the current frame to match the d (i, j) added, and a current cumulative distance grid. This calculation has reached the grid (n, m), and D (n, m) output, as a result of template matching.)

说明：  通过步进电机的数学模型对二相步进电机进行仿真，并通过卡尔曼滤波处理数据，最终通过处理后的数据预估两相步进电机的相电流和相电压。(The mathematical model of the stepping motor is used to simulate the two-phase stepping motor, and the data are processed by Kalman filter. Finally, the phase current and phase voltage of the two-phase stepping motor are predicted by the processed data.)