BLDC_EMF

说明：  上海交通大学matlab与simulink讲义 总体感觉还不错，对于初学simulink还是很有意义的。(Shanghai Jiaotong University, matlab and simulink lecture feeling pretty good overall, for beginners simulink makes sense.)

有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析(supervised self-organizing map- Partial Least Squares (A supervised self-org anising map- partial least squares algorithm) , terms of the multi- variable regression analysis of data)

求连续函数的卷积，利用matlab中的conv函数实现(Seek a continuous function of the convolution, using the conv function in Matlab to achieve)

image source method old

duffing方程的混沌判别中使用到了庞加莱截面，即多维相空间中适当选取一截面 ，此截面不与轨线相切，不包含轨线，且便于观察系统的运动特征变化.(use Poincare chaotic duffing equation discriminant, multi-dimensional phase space appropriate to select a cross-section, this section is not tangent to the trajectory does not contain the rail line, and easy motion characteristics of the observed system changes.)

这是在张正友摄像机标定的基础上对其算法进行改进，实现投影仪算法的一个简单程序(This is at Zhengyou Zhang' s camera calibration algorithm based on its improved algorithm implementation projector a simple procedure)

图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值(Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans)

说明：  基于MATLAB的组合模型 在港口吞吐量预测中的应用 以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式 等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预 测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误 差。提高预测精度。(A combination of MATLAB-based model in port throughput prediction of a Hong Kong 1998- 2007 container throughput for the measured data, the establishment of its container throughput of the gray theory, the three exponential smoothing, prediction models, such as cubic polynomial in MATLAB, the contrast of the Hong Kong container throughput of fitting the models to predict the value of the difference between the actual value. Analysis of the causes of differences and the limitations of a single prediction model, the combination of port container throughput prediction. Its prediction error was significantly lower than other single model. The use of combination forecasting model. Can reduce the error. Improve the prediction accuracy.)

加入3点或5点中值平滑处理后再绘制上述基频曲线与未平滑曲线比较，观测完整一段话音的基频包络变化情况(Add to 3:00 or 5:00 in the value of the smoothing then draw the base frequency curve is not a smooth curve compared with the observed period of complete voice baseband envelope changes)

matlab经典算法程序：插值，规划问题，数据分析，解方程，绘图(matlab ,algorithm)