Detailed-MATLAB-signal-processing

可以获取Libsvm训练的model中支持向量在原始数据中的位置。(this function can get the model Libsvm training support vector in the original data.)

Plotting antenna radiation

在风力发电的模拟控制系统中,风速的模拟是一个重要的环节,而正确的风速模型不仅能够很好的 反应实际风速变化情况,而且能够给风力发电系统研究提供正确的源参数。本文用 Matlab/Simulink建立了风速组合数学模型,该模型将风速分为基本风速、阵风、渐变风速和组合风速4部分,仿真结果表明该模型能够理想的反应实际风速。(In the simulation control system of wind power generation, wind speed simulation is an important link, and the correct wind speed model can not only reflect the actual wind speed changes, but also provide the correct source parameters for wind power system research. In this paper, a combined mathematical model of wind speed is established by using MATLAB / Simulink. The model divides the wind speed into four parts: basic wind speed, gust wind, gradual wind speed and combined wind speed. The simulation results show that the model can reflect the actual wind speed perfectly.)

遗传算法的matlab代码,适合初学者，大家相互学习吧(Genetic algorithm matlab code, suitable for beginners, learn from each other.)

说明：  matlab中的关于优化问题实验方面的例子和程序(matlab optimization problems in the experiments on the examples and procedures)

Face detection using L1 norm quantization

matlab GUI 下简单的图书管理系统的小程序，包含有软件设计概要及用户手册，适合初学者入门。(matlab GUI for beginner)

本程序是现代谱导航分析中的惯性导航中的姿态角度的分析的matlab程序，经过仿真验证，获得较为准确的结果。(The navigation program is modern spectral analysis of inertial navigation in the analysis of the attitude angle of the matlab program, through simulation, to obtain more accurate results.)

Concatenate the list of stuff that we are keeping around and also the text corresponding to these structures.

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.