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文件名称:sparserepresentationofsignals.
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- 上传时间:2012-09-04
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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.
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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 | ||
| 信号与图像的稀疏分解及初步应用/第六章/0702284 | ||
| 信号与图像的稀疏分解及初步应用/第六章/0702284v1.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/0702284v1.td | ||
| 信号与图像的稀疏分解及初步应用/第六章/0702284v1.td.cfg | ||
| 信号与图像的稀疏分解及初步应用/第六章/215.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/23090462.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/A Posteriori Quantization of Progressive Matching Pursuit Streams(1).pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/A Posteriori Quantization of Progressive Matching Pursuit Streams.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Analysis of multimodal signals using redundant representations.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/ATOMIC DECOMPOSITION BY BASIS PURSUIT.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/davis94adaptive(1).pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/davis94adaptive.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/EFFICIENT IMAGE REPRESENTATION BY ANISOTROPIC REFINEMENT IN MATCHING PURSUIT..pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/EFFICIENT IMAGE REPRESENTATION BY ANISOTROPIC REFINEMENT IN MATCHING PURSUIT.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Entropy-Based Algorithms for Best Basis Selection.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Fast sparse subband decomposition using FIRSP .pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Geometric methods for wavelet-based image compression.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/HDRmanuscrit.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Hierarchy and adaptivity in segmenting visual scenes .pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/How are complex cell properties adapted to the statistics of natural stimuli_.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/IEEESubmission4.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Image compression using an edge adapted redundant dictionary and wavelets.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Image Compression With Geometrical Wavelets (2000) .pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Image Denoising Via Learned Dictionaries and Sparse representation.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/implicit-image-models-in.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Invariant visual representation by single neurons in the human brain .pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/lang95nonlinear.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Learning Overcomplete Representations 2000-3548.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Localization operators and exponential weights for modulation spaces.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Localization Operators via Time-Frequency Analysis.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Low rate and flexible image coding with redundant representations.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/mallat93matching.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Mathematical Modeling and Analysis.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Models of object recognition.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Morphological Component Analysis_ an Adaptive Thresholding Strategy.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Morphological Diversity and Source Separation.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Natural image statistics and efficient coding.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/On the use of a priori information for sparse signal approximations.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/On the Use of A Priori Information for Sparse Signal Representations.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Peotta2003_45.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Sparse Coding with an Overcomplete Basis Set_ A Strategy Employed by V1_.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Sparse decomposition over multi-component redundant dictionaries.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Sparse Low-degree Implicit Surfaces with Applications to High Quality Rendering | Feature Extraction | and Smoothing .pdf |
| 信号与图像的稀疏分解及初步应用/第六章/Sparse representation for coarse and fine object recognition.ppt | ||
| 信号与图像的稀疏分解及初步应用/第六章/spieLogin.jsp | ||
| 信号与图像的稀疏分解及初步应用/第六章/Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/tfalo-ams.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/tr-sparseapp04.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Very Low Bit Rate Video Coding Based on Matching Pursuits.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章/Wak2003Aug5Geometric.pdf | ||
| 信号与图像的稀疏分解及初步应用/第六章 | ||
| 信号与图像的稀疏分解及初步应用 |
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