MATLABprogram

spectrum sensing for cognitive radio using energy detection

LVQ神经网络的预测——人脸朝向识别的源程序及数据。用matlab程序编写。(LVQ neural network prediction- face towards the identification of the source code and data. Using matlab programming.)

Matlab应用案例，详细录入各种常见共更能干金额共(Matlab application cases, detailed entry of a variety of common totaling more competent)

一种改进的粒子滤波算法的研究 粒子滤波基本原理，通过改进权重计算、重采样算法， 计算速度得到提高。改进的算法在DSP系统中进行目标跟踪仿真，证明其具有速度快、 精度高的特点(An improved study the basic principles of particle filter particle filter algorithm, recalculation by improving the rights, resampling algorithm to calculate the speed improved. Improved algorithms for object tracking simulation DSP system proved its high speed, high accuracy)

本工具包给出了PDE常见的求解方法程序。PDE数值求解应用相当广泛。(The kit gives the common method for solving PDE program. Numerical Solution of PDE has been widely used.)

说明：  Matlab图形辅助小波分析，压缩文件中包含几个典型的重要例子(Matlab graphics support wavelet analysis, compressed files contain several important examples of typical)

说明：  摘 要：0IE 问题是一个典型的优化组合问题，现在有很多解决的方法。本文针对遗传算法求解0IE 问题进行了研究，对 选择、交叉和变异算子进行了算法设计，最后在_ C- N软件上进行编程实现。结果表明，遗传算法在求解0IE 问题时具有 结果准确、收敛速度快等特点。 关键词：遗传算法；0IE 问题；最优化问题；_ C- N 软(Abstract: 0IE problem is a typical combinatorial optimization, there are many solutions. In this paper, genetic algorithm 0IE conducted a study on the selection, crossover and mutation operators of the algorithm design, and finally _ C- N software for programming. The results indicate that the genetic algorithm in solving problems with 0IE accurate, fast convergence and so on. Key words: genetic algorithm 0IE problem optimization problems _ C- N Soft)

说明：  matlab课件，关于matlab学习基础，以及基本的二维图形，三维立体图形的绘制，界面的设计的方法(matlab courseware, learning on the basis of matlab, and the basic two-dimensional graphics, three-dimensional drawing, interface design methods)

高斯噪声随机变量发生器，这些随机变量有一个零均值，方差D。(Gaussian random variable generator，These random variables have a zero mean and variance D.)

matlab基础概述，介绍了matlab开发环境及相关知识(matlab basic overview, describes the development environment and knowledge of matlab)