单神经元自适应PID控制的仿真研究 CHAP

iris with matlab.irisData is 150x5. row: Sepal.Length Sepal.Width Petal.Length Petal.Width Group(1,2,or 3) the first 50x5 is Isis-setosa(1), the second 50x5 is Isis-versicolor(2), the last 50x5 is Isis-virginica(3). !!! Caution !!! X(50 + 21, :) equals X(50 + 50 + 27, :), but Y(50 + 50 + 21) DOESNOT equal Y(50 + 50 + 27)! So the algorithm will NEVER be 100 correct.

Gray world method for color balance

模糊PID—模糊控制程序。适合刚入门的模糊控制学习的同学们，方便理解！(Fuzzy PID-fuzzy control procedures. Fuzzy Control for just getting started learning of the students, to facilitate understanding!)

Function matlab NLMS algorithm

MATLAB实现的小波彩色图像水印的嵌入与提取 运行需要读取原始图片和水印图片(Wavelet transform color image watermark embedding and extraction)

这两个是关于柱体跟等腰三角形的RCS计算matlab程序，还不错哦(Two cylinder isosceles RCS matlab program, also good, oh)

网络控制器的文章，主要应用场合为工控行业，希望对大家有用(Network controller of the article, the main applications for the industrial sector, in the hope that useful)

说明：  国内一名校老是编的经典控制程序，跟实际项目密切相关。(China is always a prestigious series of classical control procedures, is closely related with the actual project.)

Spectrum Sensing Technique

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)