MATLAB-source-codes

simulation of fuel cell -part2

说明：  rs码基于matlab编码，c语言译码，已验证，为正确代码(rs encoding with matlab,and decoding with c)

mulan实现多标签分类，内含多个重要的分类器，乃是分类中的精华(Mulan implementation of multi label classification, containing multiple important classifier, is the essence of the classification)

wireless sensor networks for SEP

systemiew 频谱分心 包含那奎斯特定律 正弦载波定律 频谱泄漏 (systemiew distractions include that Qwest' s law spectrum carrier sine law of spectral leakage)

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.)

天线阵的波束形成，包括Capon算法波达方向估计，MUSIC算法波达方向估计。适合学习，欢迎下载(capon、music MATLAB code)

说明：  在信号中添加噪声，根据周期图法，估计信号功率谱(Add noise to the signal and estimate the signal power spectrum according to the periodic graph method)

这是关于KSVD的两篇英文文章，我觉得对学习KSVD算法很有用(It s about ksvd the two articles in english, i think learning ksvd algorithm is very useful )

iris recognition iris gamma adjust