Microgrid_pso

matlab code for audio compression

TigerSharc TS201 32-bit floating point IIR filter routine. (TigerSharc TS-201 32-bit floating point II R filter routine.)

以天线方向图函数为例，分析了对称阵子天线、阵列天线方向图函数F(0， )随各参量变化的规律以及二维图形的特点，并讨论了直线天线阵(单向端射阵)的最大辐射方向和主瓣宽度随各参量变化的二维、三维图形特点。借助MATLAB的绘图功能，对各种天线的方向图函数的二维、三维图形进行研究，可以观察到天线辐射场在不同方向的辐射能量分布。直观清楚地表现出辐射方向图的特点。(Antenna pattern functions as an example to analyze the symmetry time around antenna array antenna pattern function F (0,) with each variation of parameters and characteristics of two-dimensional graphics, and discussed the linear antenna array (one-way end-fire array) The maximum radiation direction and the width of the main lobe of each parameter change with 2D and 3D graphics features. With MATLAB graphics functions for 2D and 3D graphics in a variety of antenna pattern function were studied, the antenna radiation field can be observed in the distribution of radiation energy in different directions. Features an intuitive clear demonstration of the radiation pattern.)

MATLAB线性规划。在人们的生产实践中，经常会遇到如何利用现有资源来安排生产，以取得最大经济效益的问题。此类问题构成了运筹学的一个重要分支—数学规划.........(The MATLAB linear programming. Production practice, often encounter how to use existing resources to arrange production, in order to obtain maximum economic benefits. Such problems constitute an important branch of operations research- mathematical programming .........)

说明：  支持向量机的C++源代码包，用机器学习的方法处理优化问题，可以作为matlab的工具箱。(C++ code for proceeding SVM problems！)

里面包含cdma和ofdm两个方面的程序，非常难得的经典例子(Cdma and OFDM which contains two procedures, a very rare example of a classic)

用于核函数的选择，也是基于最小二乘支持向量机预测问题的好帮手，希望能够搬到大家。(For the selection of kernel function, is also based on support vector machine prediction is a good helper, hoping to move to you.)

基于matlab编写的神曲——最炫民族风(Based on matlab to write the Divine Comedy- and most unusual national wind)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

EFG code for cantilever beam with end loads. introduction to mesh free.