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code
- code for denoising and restoration using total variation restoration regularization
solver
- regularization solver by Tikhonov method
Image-Restoration-by-total-variation
- 基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错-This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tes
Duality-Splitting-L1-TV
- 用对偶分裂算法处理乘性噪声如盐椒噪声（L1+TV），参数由电脑自动选取，matlab程序-A Duality-Based Splitting Method for L1-TV Image Restoration with Automatic Regularization Parameter Choice
borninv
- 本程序实现1DBorn近似反演，并且采用正则化，使得反演稳定。-This program implements 1DBorn approximate inversion, and using regularization, making inversion stability.
reconstruction_algorithms
- 本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。-The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorith
BP_nerual_network
- 通过gdm、LM以及贝叶斯正则化，进行BP神将网络-By gdm, LM and Bayesian regularization, for God BP Network
gcv
- 广义交叉验证函数(GCV) 广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。-Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.
LinearRegression
- 利用numpy库实现线性回归 并且带有正则化之后的线性回归处理功能 还有用最小角回归(LARS)算法实现了lasso回归-Numpy library implements the use of linear regression and linear regression with regularization after processing algorithms as well as the minimum angle of regression (LARS) to achieve a la
inpainting
- For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by usi
BP_LM
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正 -Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Baye
beiyesizhengzehua
- 采用贝叶斯正则化算法提高 BP 网络的推广能力,采用两种训练方法-Bayesian regularization algorithm to improve the generalization ability of BP network, using two training methods
A-Spectral-Approach-EMD
- Although it has been proven to be particularly effective in many applications,EMD method has several drawbacks. The major problem with EMD is the lack of theoretical Framework which leads to difficulties for the characterization and evaluatio
Tikhonov-in-pMRI
- Tikhonov正则化在并行磁共振图像重建中的应用-Tikhonov regularization in parallel magnetic resonance image reconstruction
demo_sparse_tv
- 基于全变分空间正则化的稀疏超普解混算法的MATLAB程序-Matlab programs for “Total variation spatial regularization for sparse hyperspectral unmixing”
code
- 自适应选择正则化参数和范数的非盲图像复原方法，效果真心不错。-Select the non-blind adaptive image restoration method parameters and norm regularization, the effect really good.
semiparameter_sin_eg
- 关于半参数模型的补偿最小二乘法，利用三次自然样条函数构造正则化矩阵-About half the compensation method of least squares parameter model, the use of natural cubic spline function constructed regularization matrix
[VNMATH.COM]-LV-HIEUCHINH-PT-TICHPHAN-TT1-(1)
- regularization fredholm integral equation
RegexTester
- java写的一个正则化表达式检验工具，小巧实用-Regularization expression
GISA
- 一种求解lp范数正则化约束的稀疏表示方法-Sparse representation method for solving LP norm regularization constraint