好用的多抽样率信号处理例子

Fisher线性判别是线性分类算法中最基本的一种算法，其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上，再进行分类。本文将用使用matlab实现Fisher线性判别算法，并给出４种阈值选择的方法。(Fisher Linear Discriminant is a linear classification algorithm as a basic algorithm, its basic idea is to d-dimensional space of the samples are projected onto one of the most easily classified projector online, and then classified. This article will use matlab to achieve Fisher Linear Discriminant algorithm, and gives four kinds of threshold selection method.)

MATLAB图像处理的教程，常用的一些函数(MATLAB Image Processing tutorial, used some of the functions)

多输入多输出的BJ模型，频域辨识，里边含有案例和相应的函数(BJ multi-input multi-output model, frequency domain identification)

使用MATLAB/SIMULINK创建汽车EPS模型，进行汽车转向仿真。(Using MATLAB/SIMULINK to create the car EPS model for vehicle steering simulation.)

Relay GUI programming for audio communication.

自己编写的ga（遗传算法）matlab工具箱。对比过，速度挺快的。(I have written ga (genetic algorithm) matlab toolbox. Been compared, the speed very fast.)

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.

牛顿-拉夫逊法在数学上是求解非线性代数方程组的有效方法，其要点是把非线性方程求解过程变成反复地对相应的线性方程进行求解的过程。(Newton- Raphson method in mathematics is an effective method for solving nonlinear algebraic equations, the point is that the non-linear equation solving process into the process repeated for the corresponding linear equation solving.)

Log Spectral Distance Signal

此程序的功能为对采集到的信号进行小波阈值去噪，阈值为改进阈值。(the program is used for wavelet denoise)