PMSM_MRAS

un article de J.Betz contient la modulation BOC

使用Matlab生成几种典型数字信号（正弦信号、周期信号、高斯随机信号等）(Generated using Matlab typical digital signal)

实现不同噪声情况下qpsk的调制，并得出了星座图。(Implement different noise situation of QPSK modulation and the constellation diagram is obtained. )

PCA的matlab程序及实例，供参考和学习。(PCA matlab procedures and examples for reference and learning.)

本程序计算金属包覆平板波导TE模等效折射率，然后计算其光场分布(This program calculates metal-coated plate waveguide TE-mode effective refractive index, and then calculate the optical field distribution)

一个简单的计算器gui界面，实现加减乘除和三角函数计算。(A simple calculator GUI interface to realize addition, subtraction, multiplication and division and trigonometric function calculation.)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

FE solver for interface migration in 2phase problems

This is the exercise of chapter 2 of the book Digital Image Processing of Gonzalez

plots result of simulation in matlab