16-APSK和32-APSK的调制解调程序

正交频分复用，多输入多输出的信道估计的matlab程序，经过验证可以直接运行(Orthogonal frequency division multiplexing MIMO channel estimation matlab program can be run directly, proven)

随机森林分类方法的matlab代码实现，他是在bagging的基础上发展起来的(code of randomforest classiification)

虹膜识别程序( iris recognition)

风机 直驱永磁同步风力发电机 最大功率跟踪 自己搭的永磁发电机模型(wind mppt)

MATLAB implementation of FIR filter

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

说明：  This file includes type-2 fuzzy logic controller and neural network papers.

遗传算法中的简单遗传算法，用matlab实现。(genetic algorithm simple genetic algorithm, using Matlab to achieve.)

说明：  No description for this file.

matlab编写的802.11n的信道模型仿真(matlab prepared 802.11n channel model simulation)