pls

MIMO Outage Capacity

为了客观和定量的评价上述不同融合方法用于多聚焦图像融合的性能，根据图像自身统计特性对其进行评价，在无标准参考图像的情况下选取均清晰度即平均梯度、空间频域、信息熵、标准差四个参数综合评价各方法的融合性能(为了客观和定量的评价上述不同融合方法用于多聚焦图像融合的性能，根据图像自身统计特性对其进行评价[11,18]，本文在无标准参考图像的情况下选取均清晰度即平均梯度、空间频域、信息熵、标准差四个参数综合评价各方法的融合性能)

matlab常用程序的源代码，以及演示(matlab source code for common procedures, and presentation)

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )

说明：  小波阈值去噪的基本思想是先设置一个临界阈值λ，若小波系数小于λ，认为该系数主要由噪声引起，去除这部分系数;若小波系数大于λ，则认为此系数主要是由信号引起，保留这部分系数，然后对处理后的小波系数进行小波逆变换得到去噪后的信号。(The basic idea of wavelet threshold denoising is to set a threshold value of lambda first. If the wavelet coefficient is less than lambda, it is considered that the coefficient is mainly caused by noise and this part of the coefficient is removed. If the wavelet coefficient is larger than lambda, it is considered that the coefficient is mainly caused by signal, and this part of the coefficient is retained. Then the denoised signal is obtained by inverse wavelet transform of the processed wavelet coefficient.)

数值分析算法-----功能:gauss-seidel迭代求解线性方程组的根 (Numerical analysis algorithms----- functions: gauss-seidel iterative root solving linear equations)

LOG算子，实现边沿检测，内附readme(LOG operator, to achieve edge detection, included readme)

this is for the use of the

压缩感知的各种经典还原算法，BP,OMP，CoSaMP，LP等等。(Compressed sensing a variety of classical reduction algorithm, BP, OMP, CoSaMP, LP and more.)

目录 1.图像反转 2 2.灰度线性变换 2 3.非线性变换 4 4.直方图均衡化 5 5. 线性平滑滤波器 6 6.中值滤波器 7 7.用Sobel算子和拉普拉斯对图像锐化： 8 8.梯度算子检测边缘 9 9.LOG算子检测边缘 11 10.Canny算子检测边 缘 12 11.边界跟踪 （bwtraceboundary函数） 13 12.Hough变换 14 13.直方图阈值法 16 14. 自动阈值法：Otsu法 18 15.膨胀操作 19 16.腐蚀操作 20 17.开启和闭合操作 21 18.开启和闭合组合操作 22 19.形态学边界提取 24 20.形态学骨架提取 25 21.直接提取四个顶点坐标 26 22.文件打开窗口 27 (Contents 1 image reversal 22 23 gray linear transformation. Nonlinear transformation 44. Histogram equalization 55 linear smoothing filters 66. Median filter 77. Sobel operator and Rapp Las Image Sharpening: 88. gradient edge detection operator 9 9.LOG edge detection operator 11 10.Canny count of edge detection 1211. the border tracking (bwtraceboundary function) 1413 13 12.Hough transform histogram. threshold Law 1614 automatic thresholding method: Otsu 1815 expansion operation 1916. corrosion operation 2017. opening and closing operation of 2118. combination of opening and closing operation 2219. morphology boundary extraction 24 20 morphological skeleton extraction 2521 direct extraction of four vertex coordinates 2622 File Open window 27)