matlabADC

说明：  一个计算Difference Algorithm的程序！(A calculation procedure Difference Algorithm!)

运用MUSIC 算法仿真均匀圆阵的测向。经典算法(MUSIC algorithm simulation using uniform circular array to the test. Classical algorithm)

机器学习中关于朴素贝叶斯（NB）方法的Matlab源代码，附带四个数据集用于实验(Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments)

说明：  material property w for rcwa calculation

很好的一个一维条码检测识别源码，作为参考很有用(Very good detection and recognition of a one-dimensional bar code source, as a useful reference)

说明：  多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。(Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.)

Matlab GUI编程中文参考手册,是GUI编程非常有用的资料，希望对大家有帮助(Matlab GUI)

这是一款非常优秀的matlab开发的支持向量量机程序源码，对分类效果非常好。 可直接使用。 (This is a very good amount of support vector machine program source code of matlab development, very good classification results. Can be used directly.)

此程序描述ＭＱＡＭ信道容量，详细内容关于８ＱＡＭ，１６ＱＡＭ，３２ＱＡＭ，６４ＱＡＭ的信道容量(This procedure describes the QAM channel capacity, details on 8QAM, 16QAM, 32QAM, 64QAM channel capacity)

自己编写的近邻法算法，包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明，详细参考边肇的《模式识别》。注：里面的分类线绘制算法存在一些问题，仅供大家参考修改。(The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document gives a simple algorithm principle . The detailed explanation can be found in the book Pattern Recognition written by Bian Zhaoqi. Note: The line drawing algorithms have some problems, only for your reference.)