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sparsity
- This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage required for a matrix operation such as factoring S into its Cholesky decomposition
SAMP
- 压缩感知中的稀疏度自适应算法，针对稀疏度未知的情况进行迭代-sparsity adaptive matching pursuit
toolbox_sparsity
- the toolbox of sparsity
superlu_3.1.tar
- SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perf
GroupSparseBox_V2
- Greedy Group Sparsity Promoting Optmization
hqp-1.9.5.tar
- HQP is a solver for nonlinearly constrained large-scale optimization. It is intended for problems with sufficient regular sparsity structure. Such optimization problems arise e.g. from the numerical treatment of optimal control problems. External int
Sparse_ar
- sparsity preserving projections (SPP)方法，根据论文《sparsity preserving projections with applications to face recognition》使用AR人脸数据库-sparsity preserving projections (SPP)method, according to the paper "sparsity preserving projections with applications t
cho
- sparsity matrix for the Ybus
spars
- sparsity program for the c
Lp
- Algorithms for non-convex sparsity promoting analysis and synthesis priors
romp
- 一种压缩感知重构算法ROMP 需要已知稀疏度-A compressed sensing reconstruction algorithm ROMP needs known sparsity
toolbox_sparsity
- sparsity 工具箱,包括稀疏信号的感知压缩和多种解码恢复算法。-tool_sparsity, including sparse signal compression and recovery.
Seismic-ground-roll-separation-using-sparsity-pro
- this book is good in seismic ground roll attenuation by the Bayesian algorithm in curvelet domain
fmetis
- A fortran implementation of the METIS library, basically a graph partitioning algorithm, used for domain decompositon (CFD), finding sparsity patterns (linear algebra), etc.
CS_OMP
- 压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log
gini
- 一种常用的关于信号稀疏度测试的指标，值得拥有。-A commonly used test for signal sparsity indicators, worth having.
BCS
- 压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。-The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear
Sparsity Adaptive Matching Pursuit algoritm for compressed sensing
- SAMP.rar function [xr iter_num] = SAMP(y, Phi, step_size, sigma); % SAMP: Sparsity Adaptive Matching Pursuit algoritm for compressed sensing. % For theoretical analysis, please refer to the paper : % Thong. T. Do, Lu Gan and Trac D. Tran ,"
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)
Sparsity_rW
- noise sparsity estimation with rRW algorithm