sea-clutter

matlab的m文件 计算两幅影像的协方差 源码简洁高效(matlab m-file， computing the covariance of two images， simple and efficient source)

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)

包含五种模型阶次方法，并附有详细的matlab代码。(Five model order methods are included with detailed matlab code.)

MATLAB教程.CHM2.9M.chm(MATLAB Tutorial. CHM2.9M.chm)

this is very good iris recognition code iris segmentation

物理层的空时编码的MATLAB仿真程序，包含发射端、信道到接收端的所有源代码(space-time coding project)

Fuzzy logic simple example using simulink bloc models on matlab works r2008a

A matlab code for QPSK uw confirm

CIC 滤波器的设计演示程序 可以运行的 还有分析性能(CIC filter design demo program that can run as well as to analyze the performance)

模拟分析参数的相合性:设总体服从拉普拉斯分布，用MATLAB模拟分析参数贝塔的相合性(Consistency simulation parameters: Let overall obey Laplace distribution, consistency of analysis with MATLAB simulation parameters betas)