搜索资源列表
spgl1-1.6
- Spectral Projected L1 solver
spgl1-1.7
- spgl1的最新版本1.7，用于图像处理中的大规模稀疏重建。-spgl1 the latest version 1.7, for image processing of large-scale sparse reconstruction.
spgl1-1.8
- based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to
Spectral Projected Gradient for L1 minimization
- SPGL1 is a Matlab solver for large-scale one-norm regularized least squares.It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, 2. Basis pursuit (BP): min
spgl1-1.8
- 该算法可以有效解决BPDN，BP以及Lasso问题- SPGL1 is a Matlab solver for large-scale one-norm regularized least squares. It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to |
mpf-spgl1-3dc3b6f
- 用于基于压缩感知的图像图形处理，对图像进行模拟采样并恢复-For graphics based on compressed sensing image processing, image and restore analog sampling
ultrasound-reconstruction.tar
- 实现基于压缩感知理论的超声重构算法,其中包含SPGL1的工具包，在maltab中添加到路径即可-Based on the theory of compressed sensing reconstruction algorithm ultrasound
spgl1-1.9
- SPGL1，matlab toolbox 用于求解大尺度的L1范数的优化问题：BPDN，BP，LASSO。目前，这个是最新版本1.9.-SPGL1 is a Matlab solver for large-scale one-norm regularized least squares. It is designed to solve any of the following three problems:BPDN，BP，LASSO.SPGL1 relies only on matrix-vec
spgl1-1.9
- Compressed sensing code package that helps to do efficient compressed sensing in different ways of image.-Compressed sensing code package that helps to do efficient compressed sensing in different ways of image.
spgl1
- 压缩感知求解算法工具包。该工具包能求解多种问题，如基追踪，基追踪去燥，Lasso问题等(A Matlab toolbox for Compressed sensing)
spgl1_1.9
- %SPGL1 Solve basis pursuit, basis pursuit denoise, and LASSO % % [x, r, g, info] = spgl1(A, b, tau, sigma, x0, options) % % --------------------------------------------------------------------- % Solve the basis pursuit denoise (BPDN) problem
spgl1-2.0
- This package contains Matlab implementations of CS based recovery algorithms
spgl1-1.9
- OMP algorithm to implement compressive sensing algorithms
SPGL1: A solver for large-scale sparse
- % SPGL1: A solver for large-scale sparse reconstruction % Version 1.7 (May 20, 2009) % % Files % spg_bp - Solve the basis pursuit (BP) problem % spg_bpdn - Solve the basis pursuit denoise (BPDN) problem % spg_lasso