文件名称:sparserepresentationofsignals
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Java] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 27.89mb
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- 0次
- 提 供 者：
- kun***
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详细介绍了信号的稀疏分解和表示方法，可以用于图像特征提取等方面-Details of the sparse signal decomposition and that the method can be used for image feature extraction, etc.
相关搜索： 稀疏
Atomic
decomposition
by
basis
pursu
Stable
recovery
of
sparse
overcomplete
representat
sparserepresentationofsignals
稀疏分解
sparserepresentationofsignals
rar
Atomic
decomposition
by
basis
pursu
Stable
recovery
of
sparse
overcomplete
representat
sparserepresentationofsignals
稀疏分解
sparserepresentationofsignals
rar
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| 信号与图像的稀疏分解及初步应用 | ||
| ..............................\第六章 | ||
| ..............................\......\06kz0628.pdf | ||
| ..............................\......\0702284 | ||
| ..............................\......\0702284v1.pdf | ||
| ..............................\......\0702284v1.td | ||
| ..............................\......\0702284v1.td.cfg | ||
| ..............................\......\215.pdf | ||
| ..............................\......\23090462.pdf | ||
| ..............................\......\A Posteriori Quantization of Progressive Matching Pursuit Streams(1).pdf | ||
| ..............................\......\A Posteriori Quantization of Progressive Matching Pursuit Streams.pdf | ||
| ..............................\......\Analysis of multimodal signals using redundant representations.pdf | ||
| ..............................\......\ATOMIC DECOMPOSITION BY BASIS PURSUIT.pdf | ||
| ..............................\......\davis94adaptive(1).pdf | ||
| ..............................\......\davis94adaptive.pdf | ||
| ..............................\......\EFFICIENT IMAGE REPRESENTATION BY ANISOTROPIC REFINEMENT IN MATCHING PURSUIT..pdf | ||
| ..............................\......\EFFICIENT IMAGE REPRESENTATION BY ANISOTROPIC REFINEMENT IN MATCHING PURSUIT.pdf | ||
| ..............................\......\Entropy-Based Algorithms for Best Basis Selection.pdf | ||
| ..............................\......\Fast sparse subband decomposition using FIRSP .pdf | ||
| ..............................\......\Geometric methods for wavelet-based image compression.pdf | ||
| ..............................\......\HDRmanuscrit.pdf | ||
| ..............................\......\Hierarchy and adaptivity in segmenting visual scenes .pdf | ||
| ..............................\......\How are complex cell properties adapted to the statistics of natural stimuli_.pdf | ||
| ..............................\......\IEEESubmission4.pdf | ||
| ..............................\......\Image compression using an edge adapted redundant dictionary and wavelets.pdf | ||
| ..............................\......\Image Compression With Geometrical Wavelets (2000) .pdf | ||
| ..............................\......\Image Denoising Via Learned Dictionaries and Sparse representation.pdf | ||
| ..............................\......\implicit-image-models-in.pdf | ||
| ..............................\......\Invariant visual representation by single neurons in the human brain .pdf | ||
| ..............................\......\lang95nonlinear.pdf | ||
| ..............................\......\Learning Overcomplete Representations 2000-3548.pdf | ||
| ..............................\......\Localization operators and exponential weights for modulation spaces.pdf | ||
| ..............................\......\Localization Operators via Time-Frequency Analysis.pdf | ||
| ..............................\......\Low rate and flexible image coding with redundant representations.pdf | ||
| ..............................\......\mallat93matching.pdf | ||
| ..............................\......\Mathematical Modeling and Analysis.pdf | ||
| ..............................\......\Models of object recognition.pdf | ||
| ..............................\......\Morphological Component Analysis_ an Adaptive Thresholding Strategy.pdf | ||
| ..............................\......\Morphological Diversity and Source Separation.pdf | ||
| ..............................\......\Natural image statistics and efficient coding.pdf | ||
| ..............................\......\On the use of a priori information for sparse signal approximations.pdf | ||
| ..............................\......\On the Use of A Priori Information for Sparse Signal Representations.pdf | ||
| ..............................\......\Peotta2003_45.pdf | ||
| ..............................\......\Sparse Coding with an Overcomplete Basis Set_ A Strategy Employed by V1_.pdf | ||
| ..............................\......\Sparse decomposition over multi-component redundant dictionaries.pdf | ||
| ..............................\......\Sparse Low-degree Implicit Surfaces with Applications to High Quality Rendering | Feature Extraction | and Smoothing .pdf |
| ..............................\......\Sparse representation for coarse and fine object recognition.ppt | ||
| ..............................\......\spieLogin.jsp | ||
| ..............................\......\Stable |