搜索资源列表
SpaRSA_2.0
- 求解优化问题中L1范数正则化函数和全变分正则化函数的流行算法-Sparse Reconstruction by Separable Approximation
L1_norm_least_square_solver
- L1范数正则化最小二乘问题求解器，stanford大学Boyd教授出品。-Simple Matlab Solver for l1-regularized Least Squares Problems
super-resolution-Regularization-
- 本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。-The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.
predict-and-match-interal-multiple
- 地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。-Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the
l1_ls
- L1范数正则化最小二乘计算min||y-Ax||^2+lambd||x||问题最优解-Least square optimal solution for L1 regulation problem min||y-Ax||^2+lambd||x||
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
TVL1denoise
- 正则化去除噪声,效果撮合，凑合。。。。。。(Tikhonov regularization)