unipolar_ber2.m

说明：  输入为两个信号，采用music算法进行特征分解，实现测向的目的(Input into two signals characteristic decomposition algorithm using music to achieve the purpose of finding)

说明：  关于压缩感知理论综述性的中文期刊论文，包括理论原理与应用，以及该理论的研究现状和公开性问题等。(Review on the theory of compressed sensing of Chinese journal articles, including theoretical principles and applications, and research status of the theory and openness issues.)

基于内容的图像检索程序，matlab代码，SVM分类实现，检索效果好，对于研究基于内容检索的学习者用处很大(Content-based image retrieval procedures, matlab code, SVM classification to achieve good retrieval effect, for content-based retrieval research has proved very useful to learn)

双边带DSB、单边带SSB信号调制解调正交解调算法(DSB DSB, single sideband SSB signal modulation and demodulation)

matlab的相关程序，关于电机调速方面的，(matlab related procedures, motor speed,)

program to process steganografi and watermarking

this is simple sample of Hopfield neural network main file: Hopfield.m

基于matlab编写了自然二进制码、折叠二进制码、反射二进制码之间的转换，并使用MatlabGUI设计了人机交互界面。(Prepared based on matlab natural binary code, binary code folding, reflecting the conversion between binary code and use interactive interface designed MatlabGUI.)

3dSIFT特征提取源码，有使用说明，主程序，非常容易使用(3dSIFT feature extraction source, with instructions, the main program, very easy to use)

说明：  模糊控制器的设计不依靠被控对象的模型，而是依靠控制专家或操作者的经验知识。模糊控制的突出优点是能够比较容易地将人的控制经验溶入到控制器中，但若缺乏一定的控制经验，很难设计出高水平的模糊控制器。而且，由于模糊控制器采用了IF-THRN控制规则，不便于控制参数的学习和调整，使得构造具有自适应的模糊控制器较困难。 自适应模糊控制是指具有自适应学习算法的模糊逻辑系统，其学习算法是依靠数据信息来调整模糊逻辑系统的参数。一个自适应模糊控制器可以用一个单一的自适应模糊系统构成，也可以用若干个自适应模糊系统构成。与传统的自适应控制相比，自适应模糊控制的优越性在于它可以利用操作人员提供的语言模糊性信息，对具有高度不确定因素的系统尤为重要(Fuzzy controller design does not rely on the controlled object model, but on control expert knowledge or experience of the operator. Highlight the advantages of fuzzy control is the ability to more easily control the experience of people integrated into the controller, but if a certain lack of control experience, it is difficult to design a high-level fuzzy controller. Moreover, since the fuzzy controller using the IF-THRN control rules is not easy to learn and adjust the control parameters, making construction more difficult adaptive fuzzy controller. Adaptive fuzzy control refers to the fuzzy logic system with adaptive learning algorithm, which is to rely on the data information learning algorithm to adjust the parameters of fuzzy logic systems. An adaptive fuzzy controller with a single adaptive fuzzy system configuration, you can also use a number of adaptive fuzzy system structure. Compared with the traditional adaptive control, adaptive fuzzy control advantages is that it can tak)