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SL0andOMP
- SL0算法是一种基于近似L0范数的压缩感知信号重建算法,它采用最速下降法和梯度投影原理,逐步逼近最优解,具有匹配度高、重建时间短、计算量低、不需要信号的稀疏度这个先验条件等优点。-SL0 algorithm is an approximate L0 norm based compressed sensing signal reconstruction algorithm, which uses the steepest descent method and gradient projection
Numerical-Solution-
- 程序首先计算数值解，然后利用特征线法计算真解，最后计算一范数误差e1以及无穷范数误差e8-First calculate the numerical solution procedure, and then use the method of characteristics to calculate the true solution, the final calculation of an error e1 norm and infinity norm error e8
SSR_DOA
- 稀疏表示doa估计，l1范数凸优化的算法，性能很好-Low complexity method for DOA estimation using array covariance matrix sparse representation
l2-linf-fanshubuqdingkongzhi
- 关于范数有界的鲁棒控制系统的控制，取得良好控制效果-Robust control systems on the control of norm-bounded, and achieved good control effect
@fotf
- 关于分数阶系统的一些函数 1.分数阶定义和显示函数 fotf.m display.m 2.分数阶对象连接函数 mtimes.m plus.m feedback.m uminus.m drdivide.m mpower.m simple.m 3.分数阶范数 norm.m 4.分数阶频率分析函数 bode.m nyquist.m 5.分数阶时域特性函数 step.m lsim.m 6.分数阶高阶函数 high_order.m-Fractional systems on s
object-tracking-based-on-ML-and-L2
- 提出了一种基于ML和L2范数的视频目标跟踪算法。将压缩感知引入到目标跟踪领域，实现图像目标跟踪。-Presents a video object tracking algorithm based on ML and L2 norm. The compressed sensing is introduced into target tracking, image target tracking.
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.
ZF-MMSE
- ZF-SIC、MMSE-SIC检测算法实现，及误码率对比，带检测信道的所有行最小二范数的函数-ZF-SIC, MMSE-SIC detection algorithm, and the error rate compared with all the lines to detect the smallest two-channel function norm
Norm-of-matrix
- 各类矩阵的范数，包含行范数，列范数，以及2范数，有利于解决各种范数问题-Norm of matrix norm, contains the row, column norm, and 2 norm, is conducive to resolving the various norm problem
feature-selection-l2p
- 利用矩阵l2p范数来做特征选择的最新文章。-A unified algorithm for mixed l 2，p-minimizations and its application in feature selection
l1benchmark
- l1benchmark程序用于解决L1范数优化问题-this l1benchmark codes is design to solve L1 constrain problem
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
TVdenoising-
- 全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，-Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and hi
MN
- MN最小范数算法10阵元等距阵波达方向估计-MN algorithm for DOA
MN_music
- 最小范数MUSIC算法，低SNR和小样本以及高相关情况下MN-Music效果相对较好,提高分辨力，适用于等距线阵。-MN-Music for DOA
L1-norm-unliner
- 最优化一范数的线性拟合，巧妙转化为线性回归问题，避免了一范数不可微的缺点-Optimization of a linear fit the norm, cleverly converted into a linear regression problem, avoiding a non-differentiable norm shortcomings
MPTK-Source-0.6.1.tar
- 求解L1范数的基本方法或者稀疏矩阵的基本方法-MP algorithm based program
BP-procedure
- 基追踪算法，BP，求解压缩感知一范数模型-Basis puisuit algorithm used for Comprssed sensing model
IRLS
- 迭代加权二范数算法,又称FOUCSS，一种求解基于p范数的压缩感知模型算法-FOCUSS algorithm
Denoising-image-combined
- 联合矩阵F范数的低秩图像去噪。好文章供你参考。-Denoising image combined with low rank matrix F norm. Good article for your reference.