搜索资源列表
wcslspectralestimation
- 信号处理里一类研究比较火热的压缩感知算法，通过对接收信号进行原子范数约束，使恢复结果具有稳健的性质，并且实现了无格点压缩感知-Signal processing in a class of relatively hot compression sensing algorithm, through the received signal atomic norm constraint, so that the recovery results have a robust nature, and to
WNNM_code
- 加权核范数最小化应用于图像处理的代码，很实用，且是图像处理领域很新的方法源码，所以该方法效果很好，希望对大家有用。-Nuclear weighted norm minimization codes used in image processing, it is useful, and it is a new image processing method for the source, so that this method works well, want to be useful.
l1_ls_nonneg
- 最优化问题求解，l1-ls 范数求解matlab程序包.-Optimization problem solving, l1-ls norm solving matlab package.
norm_Optimal-ILC
- 范数优化迭代学习代码，可以运行，效果非常好-norm-optimal iterative learning control
svd
- 基于l1范数加权的奇异值分解的波达估计。。。。。。。。。。基于l1范数加权的奇异值分解的波达估-Estimation of Singular Value Decomposition Based on l1 Norm Weighting
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)
alpha
- 从所给图形中分别抓取12个点，然后弦长参数化并利用控制顶点与型值点间的关系计算出迭代矩阵，以抓取到的点作为型值点分别用jaccobi和Gauss-seidel迭代法进行迭代，得到控制顶点。然后将给出的控制顶点与算出的控制顶点分别代入中得到P(t)和Q（t）,再采用二范数估计误差(According to the graphics respectively to grab 12 points, then the chord length parameterization and the contr
6
- 通过使用自适应约束和L 1范数的凸投影进行图像恢复(Image restoration by convex projections using adaptive constraints and the L 1 norm)
The Matrix Cookbook
- 详细介绍了经常使用的矩阵运算，例如求偏导、范数等等，很强大的参考资料(the popular basic operations on matrix are described clearly)
L1 SVD
- 利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(The DOA estimation is realized by compressed sensing, and the singular value decomposition is used to reduce the received signal, and then the L1 norm is used to estimate the DOA)
l1magic-1.1
- 对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)
LSunwrap
- 用matlab实现范数，最小二乘法解范数(The norm is obtained by MATLAB and the norm is solved by least square method)
examples
- 求解满足约束的稀疏化矩阵，使用L1范数进行凸松弛转化为一个凸优化问题(to solve the sparsity matrix)
5
- 在进行反演时所用到的1范数约束解法程序，其中用到了共轭梯度算法。(In the process of inversion, the 1 norm constraint solution is used, in which conjugate gradient algorithm is used.)
MCWNNM_ICCV2017-master
- MCWNNM，多通道加权核范数；加权核范数可用于处理颜色图像、能谱图像的去噪。(MCWNNM, multi channel weighted kernel norm, weighted kernel norm can be used to deal with color images and denoising of energy spectrum images.)
vandemonde
- 该函数能产生一个任意阶的范德蒙德数组,可以用在无线通信等诸多领域。(This matlab function will generate an arbitrary-way Vandermonde arry.)
CBIR-system
- 随着计算机科技的发展，图像检索的应用也越来越成熟，根据检索性质可分为两类：基于文本的图像检索和基于内容的图像检索。本论文通过研究基于内容的图像检索中的几个核心算法，用于聚类分析的K-means算法，通过haar小波变换来提取图像底层视觉特征，以及使用F-范数理论来进行相似性度量，来设计一个离线的图像检索系统。(With the development of computer technology, the application of image retrieval is more and mo
GlobalRetinex
- 求解稀疏约束的程序代码，基于L1范数的求解约束的方法(Program code for solving sparse constraints based on L1 norm)
107215789BP
- 一范数的求解方法，非常经典，在图像重建和压缩感知有广泛应用(The solution of one norm is very classic, a wide range of applications in image reconstruction and compression)
cs
- 压缩感知的例子。重建是用在稀疏域上求最小零范数的方法。首先把零范数凸松弛为一范数，然后变成线性规划问题，从而求得最优解。(An example of the compressive sensing. Its reconstruction is based on L0-norm minimization.)