搜索资源列表
RICE_COMPRESSED SENSING
- RICE 大学压缩传感资料
LDPC码压缩传感
- 将LDPC码用于压缩传感中，进行高效译码
shawei
- 压缩传感引论(沙威博士)：压缩感知如门级文章，对正交匹配追踪算法进行了详细的阐述。-Compressed sensing cited theory (Savit Ph.D.): compressed sensing, such as gate-level article on the orthogonal matching pursuit algorithm in detail.
Tutorial
- 压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门介绍，自己精心搜集的ppt，pdf资料，助你轻松入门-compressive sening compressed sensing
Compressedsensing
- 压缩传感的经典文章，是必读论文之一。作者David L. Donoho-Compressed sensing classic article is one of must-read papers. Author David L. Donoho
CompressedSensingforNetworkedData
- 压缩传感在无线传感器网络中的应用。通过压缩传感，可以有效压缩数据量-Compressed sensing in wireless sensor network applications. Through the compression sensor can effectively reduce the amount of data
CompressiveSensinginWSNs
- 在无线传感器网络中使用压缩传感技术，可以有效提高网络的生存周期，减少数据传输量-In wireless sensor networks using compressed sensing technology can effectively improve the network life cycle, reducing the volume of data transmission
BCS
- 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sens
padm_unc
- 求解l1优化问题，在压缩传感中有应用，概算发可以求解三个模型：BP，BPDN和约束版本-Solves L1 problems arsing from Compressive sensing, compressive sampling and sparse optimization
Sparse_Signal_Representation
- 介绍压缩传感理论中要用到的信号的稀疏表征原理-Introduced the theory of compressed sensing to use the sparse representation of signal theory
exact_signal_reconstruction_from_highly_incomplete
- exact_signal_reconstruction_from_highly_incomplete 压缩感知 压缩传感。 证明了压缩感知的可行性-exact_signal_reconstruction_from_highly_incomplete compressed sensing compressed sensing. Proved the feasibility of compressed sensing
ChirpSensingCodes
- 新兴的压缩传感理论应用于Chirp序列信号的采集与恢复-Apply the theory of compressed sensing emerging Chirp signal acquisition and recovery sequence
yaosuochonggou
- 这些是一些最新压缩传感重构的论文，里面有新的重构算法，很不错-failed to translate
about-compressed-sensing
- 陶哲轩关于压缩传感的简单解释，入门用比较适合-Tao Zhexuan simple explanation on compressed sensing, started with a more suitable
CS_Detecting_a_Vector
- 压缩传感理论中探测向量的检测任务，是一次更容易，更简单，比估计和支持复苏的任务不同。-Compressed sensing theory to detect vector detection task is a more easy, easier than the estimate, and support recovery tasks.
OMP
- 1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit)-1-D signal realization of compressed sensing (orthogonal matching pursuit method Orthogonal Matching Pursuit)
compressed-sensing-basic-theory
- 对压缩传感的基本理论进行介绍，并研究了其在信道估计中的应用-the introduction of compressed sensing basic theory and the research of applying it into channel estimation
Compressed-sensing-Profile
- 压缩传感图像。介绍了压缩感知在图像恢复处理方面的应用。-Compressed sensing image . Compressed sensing image restoration processing .
Short-duration-power_CS
- 根据压缩传感(Compressed Sensing，cs)N论，首次提出了短时电能质量扰动信号的压缩采样方法，该方法突破了奈奎斯特采样频率的限制，实现了低于奈奎斯特采样频率的低速率采样。文中对比分析了CS理论与传统采样理论，研究了cS短时电能质量信号压缩采样的实现方法，包括：测量矩阵的构建、稀疏基的选取和电能质量信号快速贝叶斯匹配追踪重构算法(FBMP)-Compressed sensing ( Compressed Sensing , cs ) N theory , first propose
Image-reconstruction_CS
- 合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS)，给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题，而待重建的图像是该回归模型巾的未知权值参数；利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度，并引入超参数- Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon