搜索资源列表
Convex
- 凸优化理论在信号处理中的应用，该理论很关键，希望大家多多学习！原版英文文档-Convex optimization theory in signal processing applications, the theory is critical, I hope to learn from you! Original English documentation
NonCvxGroupSparsity
- 本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度-This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative m
THE-THEORY-OF-CONVEX-OPTIMIZATION
- 讲述了凸优化的基本理论，包括定义，模型，鲁棒特性以及对信号重构的指导等。-Describes the basic theory of convex optimization, including definitions, models, robust features and guidance on the signal reconstruction.
L1_magic
- 程序包包括了求解稀疏信号重构的凸优化方法。具体实现了基于 primal-dual 的线性规划方法（LPs）和基于 log-barrier 的二阶锥规划方法（SOCPs）。-Sparse signal recovery via convex programming is given in the pakage. The Lps are using generic primal-dual method, and the SOCPs are solved with a generic log-barr
MAC_mismatch-filter
- 基于凸优化方法的失配滤波器设计（MAC编码信号的脉冲压缩处理）-Mismatch filter design based on a convex optimization method (MAC encoded signal of the pulse compression processing)
compressive-sensing-singal
- 压缩感知的主要研究内容有信号的稀疏表达、观测矩阵的设计和信号恢复。精确的信号恢复算法是压缩感知中的关键。因此本文在压缩感知理论框架下研究恢复算法中的凸优化算法- Compressive sensing offers a variety of research fields, including signal sparse representation, sensing matrix design, signal reconstruction. Accurately signal reconstr
commands
- [ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统，有助于学习压缩感知-[Convex_optimization.rar]- convex optimization package that contains a variety of convex op
keywords
- [ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统,有助于学习压缩感知-[Convex_optimization.rar]- convex optimization package that contains a variety of convex op
Algorithms_Signal_Processing
- 所上传为教程《信号处理的数学方法和算法》的配套代码。该书为读者和编程爱好者提供了广泛的应用于当代信号处理里面的数学工具。本书提供了分析，线性代数，优化，统计信号处理方面的扎实基础知识，以及配套算法代码。有趣的前沿课题包括了许多其他信号处理书籍里面的问题，比如，EM算法，盲源操作，凸集合的投影，等等，还包括许多常规的课题，比如谱估计，自适应滤波，等等。-Mathematical Methods and Algorithms for Signal Processing tackles the cha
ga_cvx
- 遗传算法和凸优化联合优化阵元分布及宽带信号波束成形-genetic algorithm and convex optimization for array element distribution and wideband signal beamforming
beamforming_cvx
- 利用matlab编写的关于宽带波束形成的实测可用程序，利用凸优化的工具，对于初学阵列信号处理的有很大帮助-Found on the use of available programs broadband beamforming matlab prepared using convex optimization tool for novice array signal processing helps a lot
GMC_software
- 用于稀疏优化的最新非凸函数GMC算法，可用于信号处理以及图像处理。(The latest non convex function GMC algorithm for sparse optimization, can be used for signal processing and image processing.)
凸优化
- 以上代码为使用凸优化来求解稀疏信号的DOA(The above code uses convex optimization to solve DOA of sparse signals)
BP
- 除匹配追踪类贪婪迭代算法之外，压缩感知重构算法另一大类就是凸优化算法或最优化逼近方法，这类方法通过将非凸问题转化为凸问题求解找到信号的逼近，其中最常用的方法就是基追踪(Basis Pursuit, BP)，该方法提出使用l1范数替代l0范数来解决最优化问题，以便使用线性规划方法来求解(In addition to match-tracking greedy iterative algorithms, another major category of compressed-perceptual
Convex-Optimization-in-SP-and-Comm
- Daniel P. Palomar 2010的新作，凸优化在信号处理及通信中的应用。对于研究领域为通信理论及信号处理的学生而言，我强力推荐本书。(Daniel P. Palomar s new book published in 2010, 《convex optimization in signal processing and communications》. For the students in the areas of communication theory and signal p
357386152D_SL0
- nsl0的2维信号的压缩感知重建算法，基于牛顿迭代和凸优化以及贪婪算法(2dcs with newtown NSL0)
Array_erjiezhui
- 本程序为一宽带波束形成程序，基于二阶锥规划求解。可以直接运行，但使用者必须提前下载并安装CVX凸优化工具包。(This program is a broadband beamforming program based on second-order cone programming. It can run directly, but users must download and install the CVX convex optimization toolkit in advance.)