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福星晓程PL3106电力载波程序，调试通过(Fu Xing Xiao Cheng PL3106 Power Line Carrier program debugging through)

基于windows平台vs2010和opencv2.4.10和zbar的二维码识别程序。(Based on the Windows platform vs2010 and opencv2.4.10 and zbar qr code identification procedures.)

This code is for Reduce Rank Square Root Technique in MatLab

lower precision beta

提供双馈风电机并网仿真程序.仿真程序内含有16台双馈风力发电机，经25km线路并入大电网。(doubly fed induction generator griding is provided.)

北航张志勇编的matlab绘图程序，可作为初学者的参考(series of the Beijing University of Aeronautics and Astronautics Zhang Zhiyong Matlab mapping procedures, can be used as a reference beginners)

基于matlab的双馈风力发电系统仿真模型，在不同风速条件下，系统的响应仿真(Matlab double-fed wind power generation system simulation model under different wind conditions, the response of the system simulation)

画出BA模型，BA模型度分布，平均路径程度，集聚系数(Draw BA model, BA model distribution, average path degree, clustering coefficient)

这份源代码是用粒子群算法解决0/1背包问题，可以正常运行。(The source code is the particle swarm algorithm to solve 0/1 knapsack problem, it works.)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)