frequeceestimation

说明：  本实验的目的是考虑不同维数下的高斯概率密度模型，用最大似然估计方法对其参数进行估计，了解最大似然估计方法。(The purpose of this study is to consider different dimensions of the Gaussian probability density model, using the maximum likelihood method to estimate its parameters to find maximum likelihood estimation.)

ICA算法的详细介绍，包括算法的主要步骤。最后还附有一个实例，有相应的程序，方便使用。(A detailed description of the ICA algorithm, including the main steps of the algorithm. Finally, accompanied by an instance of the corresponding program, easy to use.)

电机模型 可以用于电机的matlab仿真 为m文件 直观方便(Motor model can be used for motor simulation matlab m files for easy and intuitive)

boundary scan tutorial matlab

Chow algorithm in adaptive bit loading to get energy allocation

matlab code for Hybrid Photovoltaic and Wind power system

说明：  主要介绍matlab的图形修饰，让你的图更好看(Introduces the modified matlab graphics, so you better look at the map)

关于对pSOriasis的一般性的描述，虽然不是很全，但是还是十分的实用，对于初学者是很有帮助的 (About the general description of pSOriasis, though not very full, but still very useful for beginners is very helpful )

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。(Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value.)

项目中宽带噪声干扰性能的研究，有详细的MATLAB代码以及注释(Broadband noise performance of the project research, a detailed MATLAB code and comments)