tiaopin_maichongxinhao-

一个处理hough变换的源码，希望大家能有点用，不过是一个matlab的源码，一会再传一个C的(Hough transform a deal with source code, hope that we can use a little bit, but is a matlab source code, one would send a C of)

描述变论域模糊控制的重要论文，相信对研究变论域的朋友有帮助(Describe the variable universe fuzzy control of key papers, I believe that the study of variable universe of friends to help)

共上载5个源码，其中c语言c_matrix为矩阵类，可以实现几十种矩阵运算；其它四个为matlab程序，用于生各种杂波的程序(Upload a total of 5 source code, in which c language for c_matrix matrices can be achieved dozens of matrix operations the other four for the matlab program for Health and a variety of procedures Clutter)

2007版EMD(经验模态分解)完整程序(2007 version of EMD (Empirical Mode Decomposition) integrity procedures)

matlab时频分析配套源码第3章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 3, please share)

ofdm中互补序列降低par的ber程序(OFDM in the complementary sequences of ber program to lower par)

the modeling and control of a photovo/taic system is presented. A maximum power point tracking (MPPT) algorithm is adopted to maximize thephotovotaic output power. The proposed approach for peakpower tracking using the sliding mode control is robust to environment changes (irradiance and temperature).

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.)

利用matlab编程求解雷诺方程，用有限差分法将雷诺方程转换成非齐次的线性方程组(Reynolds equation solved using matlab programming, finite difference method will be converted to the Reynolds equation linear equations nonhomogeneous)

非线性遗传算法代码，解决带约束条件的一般问题(Nonlinear genetic algorithm code, solve the general problem with constraints)