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Title: sparserepresentationofsignals Download
 Description: Details of the sparse signal decomposition and that the method can be used for image feature extraction, etc.
 Downloaders recently: [More information of uploader 745375924]
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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

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