FDTD-Method

数字信号系统中的简单函数的离散傅里叶变换。(DFT of a simple function in DSP.)

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说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

该程序是生成一个符合泊松均匀分布的WSNs的Matlab程序，可以修改参数，得到不同的网络拓扑！！(The program is to generate a Poisson evenly distributed WSNs Matlab program can modify the parameters of different network topologies! !)

这段程序是产生一个叠加信号，然后计算传递函数，进行相关分析(this is a program which generate a new signal,calculate transfer function and doing correlation analysis )

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盲源信号分离，快速高效的独立成分分析方法 希望对大家有用(Blind Source Separation, rapid and highly efficient method of independent component analysis for all of us hope that useful)

从日置Hioki 8860系列记录仪生成的.MEM文件和.FFT文件中读取数据。(Read data from .MEM or .FFT file genetated by Hioki 8860 serial data recorder.)

用matlab编程求解三样条差值函数，并给出了相关解析值(Programming using matlab to solve the three spline difference function, and gives the relevant analytical values)

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)