搜索资源列表
L1-Norm 优化求解
- 稀疏性方程组的优化求解算法，利用L1-Norm求解最稀疏的方程组解。主要用于压缩感知领域。
l1benchmark
- 解决L1正则化问题的一系列最新算法MATLAB代码 亲自测试 好用
最小化l1范数的Matlab代码
- 最小化l1范数的Matlab代码。求解模型为： min lambda*|x|_1+||A*x-y||_2。其中，|x|_1表示x的1-范数，||*||_2表示2-范数。该模型在稀疏成分分析、压缩传感器等领域有广泛的用途。, l1-Regularized Least Squares Problem Solver l1_ls solves problems of the following form: minimize ||A*x-y||^2+ lambd
基于matlab的稀疏表示中L1范数计算源码
- 基于matlab的稀疏表示中L1范数计算源码,the codes for L1 in sparsty representation with matlab
GSM_simlate_packge.rar
- 基于matlab开发的GSM物理层仿真程序，包括信道编解码、GSMK调制解调、viterbi均衡等整套的L1算法，并有详细的文档说明。,Matlab based on the development of GSM physical layer simulation program, including channel encoding and decoding, GSMK modulation and demodulation, viterbi algorithm for a balanced
fast_sc.rar
- 稀疏编码的算法，运行请阅读readme文件，很简单,Sparse coding algorithmsrun matlab and execute: "demo_fast_sc(1)": epsilon-L1 sparsity penalty "demo_fast_sc(2)": L1 sparsity penalty
l1
- 压缩感知的一个应用实例，对压缩后的信号用BP算法重构-An application of compressed sensing, on the compressed signal with the BP algorithm has
l1magic
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
SRC 实现了使用基于稀疏表示的人脸识别算法
- 该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
LogisticR
- Logistic Loss with the L1-norm Regularization
l1magic-1.1
- L1算法稀疏重构算法的matlab工具箱-L1 sparse reconstruction algorithm matlab toolbox
L1
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
l1-slove
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
L1_homotopy
- 本程序是利用同伦方法求解L1范数最小化的数值算法-This procedure is the use of homotopy methods to solve the L1-norm minimization numerical algorithm
code
- 稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
l1magic-1.1.tar
- l1-magic Compressive Sensing 简单工具包-l1-magic Compressive Sensing
nnLogisticR
- Logistic Loss with the L1-norm Regularization subject to non-negative constraint
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)
SparseDOA
- 使用l1-svd的方法求解DOA估计问题(Using the l1-svd method to solve the DOA estimation problem)
GPS-L1信号频谱
- GPS信号频谱，matlab语言，里面有CA码和P码的子文件，最后将各信号频谱画出来。(GPS signal spectrum, MATLAB language, there are ca code and P code sub file, finally the signal spectrum will be drawn.)