课设的对PMSM算法的直接转矩控制例程代码

说明：  图像的小波分解，然后进行压缩，以及最终的恢复图像(Wavelet image compression recovery)

线性预测在MATLAB中的实现，非常具有参考价值的文档(Linear prediction in the MATLAB implementation of the document is a reference value)

这是清华大学周红星教授关于时频分析的精彩论述！(This is the Tsinghua University, Professor Zhou Hongxing on time-frequency analysis of the wonderful discussion!)

介绍求解TSP问题的遗传算法，附带源代码和城市节点数据。(Introduced genetic algorithm for solving TSP problem,including the supplementary data source code and city nodes.)

说明：  遗传算法小程序供大家分享。。。。。。。。。。。。。。。。。。。。(Genetic algorithm code)

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)

说明：  简单详细的永磁同步发电机仿真，可以出图，完美运行(Simple simulation of permanent magnet synchronous generator can be drawn.)

包括gmm高斯混合聚类的核心代码，通过产生概率以及后验概率得到类的参数更新，包括权值均值和方差

阵列信号处理中的MVDR处理程序，开发平台matlab，内含文件说明(MVDR array signal processing in the process, the development platform for matlab, embedded file description)

matlab7.0教学。。。。。。。。。。。。。。。。。。(matlab7.0。。。。。。。。。)