lvjing

这是针对永磁同步电机的矢量转矩控制的程序，经过验证，可以运行，也看作为参考。(This is a vector of permanent magnet synchronous motor torque control procedures, validated, you can run, but also watch as a reference.)

小数据量法计算Lyapunov指数的Matlab程序(Small amount of data calculated Lyapunov index Matlab procedures)

对于规则LDPC码的EXIT图的程序，对优化LDPC起到很好的帮助(For regular LDPC code EXIT chart program optimization LDPC play a very good help)

利用共振解调，分析齿轮和轴承的信号，找出故障频率，此为源代码。(Using the resonance demodulation analysis the gear and bearing signals to identify the frequency of failure, this is the source code.)

AirPrime Q26 Series Development Kit User s Guide

支持向量机SVM gridr.py 核函数自动寻优 多核并行程序 wen7 32位系统(Support Vector Machine SVM gridr.py kernel function automatically optimizing multicore parallel programming wen7 32-bit systems)

可以实现柴油发电机独立带负载运行，负载有常规负载和电动机负载，包含调速器部分和励磁控制部分(The diesel generator can operate independently with load. The load includes conventional load and motor load, including governor part and excitation control part.)

Kiel matlab project taken from website see any fault exist report me.Squirrel-cage induction motors (IM) are the workhorse of industries for variable speed applications in a wide power range that covers from fractional watt to megawatts. However, the torque and speed control of these motors is difficult because of their nonlinear and complex structure. In the past five decades, a lot of advanced control schemes for IM drive appeared. First, in the 1960’s, the principle of speed control was based on an IM model considered just for steady state. Therefore, the so-called “scalar control methods” cannot

核主分量计算得也很有用的程序~已经调通很好用~(KPCA，which is very useful in signal processing!)

说明：  梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)