compressed-sensing

为GABOR小波的详细MATLAB实现代码，详细分析了该小波的各种性能()

说明：  批处理一批图片，实现对其中的图像提取几何特征参数。(Batch number of pictures, images of which the realization of the geometric characteristic parameter extraction.)

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)

c#编写的图像平滑处理，源码比较全，可以成功编译，希望对大家有帮助。(c# prepared by the image smoothing, source code comparison, can be successfully compiled, we want to help.)

利用ADMM和小波进行图像恢复 使用ADMM算法的图像恢复模型，并用到了增广拉格朗日函数和快速傅里叶函数(Using ADMM and wavelet to restore image, using ADMM algorithm to restore image model, and using augmented Lagrange function and fast Fourier function.)

图像拟合圆并标记圆心坐标，有需要的同志可以参考(The image is fitted to the circle and the center coordinates are marked)

粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助(Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful)

裁剪以RGB565格式保存的BMP文件，涉及位图掩码内容(imagecut of the BMP picture which saved with RGB565 format and mask)

多个函数的曲线拟合，里面统计有最小二乘、非线性回归(Curve fitting for multiple functions)

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)