搜索资源列表
Sparse-and-Redundant-Representations
- 这本教科书，介绍了稀疏和多余的申述，对信号和图像处理应用的重点。的理论和数值基础处理前的应用进行了讨论。信号源的数学建模一起讨论如何使用适当的模型，如去噪，恢复，分离，插值和外推法，压缩，采样，分析和合成，检测，识别，多任务。这次报告会是优雅和迷人的。-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing
smallbox_1.9
- SMALLbox是一种新型的基础框架采用自适应处理信号稀疏结构的表示。其主要目的是成为一个SMALLbox考验地探索新大概很好的方法来获得内在稀疏数据驱动模型,它是可以做到的应付大规模、复杂的数据资料。- SMALLbox is a new foundational framework for processing signals using adaptive sparse structured representations. The main aim of SMALLbox is t
ACHA05_Inpaint
- 基于信号稀疏分解的形态成分分析来进行图像的分解和修复原作者的英文原文献-Morphological component analysis based on the signal sparse decomposition of the image decomposition and restoration of the original author of the original English literature
CurveLab-2.1.3.tar
- 最新曲波变换工具箱，用于信号稀疏分解重构-Last curvelet transform toolbox for signal sparse decomposition and reconstruction
MP
- 基于MP的信号稀疏分解参考程序的matlab仿真代码-Matlab simulation code of the reference procedure based on the MP signal sparse decomposition
l1magic-1.11
- 实现信号稀疏重构的l1算法程序代码，实现信号稀疏重构的l1算法程序代码，-the matlab code of the method l1
CS
- 信号稀疏分解及压缩感知理论应用研究，理论基础-Signal sparse decomposition and compression perception theory applied research, theoretical basis
sparse_MP
- 信号稀疏表示的小程序，适合初学者入门。采用匹配追踪算法-Signal sparse representation of small procedures, suitable for beginners.
ksvdbox
- 用于信号稀疏表示中冗余字典训练的KSVD算法，采用matlab与c的混合编程，具有更高的计算效率-KSVD algorithm for sparse signal representation in a redundant dictionary training
4-chapter
- 信号稀疏度检测的matlab仿真程序。该方法能够检测出宽带信号的稀疏度，保证Compressive Sensing在宽带频谱检测中的准确运用。-Signal sparsity detection matlab simulation program. The method can detect the wideband signal sparsity ensure Compressive Sensing wideband spectrum sensing in the exact use.
SolveBP
- BP，基追踪，同MP一样，是实现信号稀疏分解的方法-BP, basis pursuit, as with the MP, is to achieve sparse signal decomposition method
SolveBP
- BP，基追踪，同MP一样，是实现信号稀疏分解的方法-BP, basis pursuit, as with the MP, is to achieve sparse signal decomposition method
Compression-perception-theory-
- 压缩感知理论及其研究进展,文综述了cs理论框架及关键技术问题，并着重介绍了信号稀疏变换、观测矩阵设计和重构算法三个方面的最新进展，是一篇综述。-Compression perception theory and research progress, cs paper reviews the theoretical framework and key technical issues and focuses on the latest developments signal sparse tran
CS_BP
- 基追踪稀疏重构算法matlab实现，包含信号稀疏过程和重构过程-Based tracking sparse reconstruction algorithm matlab realize, including the process and the sparse signal reconstruction process
twoDomp
- 基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计-Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA
Introduction-Compressed-Sensing
- 压缩感知（CS）理论是在已知信号具有稀疏性或可压缩性的条件下，对信号数据进行采集、 编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型，并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。 -Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compress
Compressed-Sensing-Theory
- 用压缩感知理论对信号数据进行采集、编解码,进行数据恢复。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型.-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible.
TestSparsify
- 压缩感知中用于检测信号稀疏度的代码，有些重构算法需要已知稀疏度所以很有用，可以-compressive sensing
mp
- 基于GA和MP的信号稀疏分解matlab程序来自于信号与图像的稀疏分解及初步应用-Sparse signal sparse decomposition of MP GA and matlab program signal and image decomposition and its application based on
xishubiaoshi
- 信号稀疏表示，去噪处理，稀疏分解后重构性能非常好-Signal sparse representation, de-noising, sparse decomposition and reconstruction after the performance is very good