Results 21 to 30 of about 214,409 (272)
Sparse Regression Codes for Multi-terminal Source and Channel Coding [PDF]
We study a new class of codes for Gaussian multi-terminal source and channel coding. These codes are designed using the statistical framework of high-dimensional linear regression and are called Sparse Superposition or Sparse Regression codes.
Tatikonda, Sekhar, Venkataramanan, Ramji
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This paper studies the blind recognition method of the sparse parity‐check matrices of low‐density parity‐check codes in noncooperative communication, which is critical to the reverse analysis of communication protocols using LDPC codes.
Yong Ding, Zhiping Huang, Jing Zhou
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Measurement-induced phase transitions in sparse nonlocal scramblers
Measurement-induced phase transitions arise due to a competition between the scrambling of quantum information in a many-body system and local measurements.
Tomohiro Hashizume +2 more
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The(frequently updated) original version is avalable at http://www.scholarpedia.org/article/Sparse_coding Mammalian brains consist of billions of neurons, each capable of independent electrical activity. Information in the brain is represented by the pattern of activation of this large neural population, forming a neural code.
Foldiak, P, Endres, D M
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Compressed sensing using sparse binary measurements: a rateless coding perspective [PDF]
Compressed Sensing (CS) methods using sparse binary measurement matrices and iterative message-passing re- covery procedures have been recently investigated due to their low computational complexity and excellent performance.
Pizurica, Aleksandra +2 more
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We present a new set of near orthogonal codes which we call Hadamard Aperiodic Interval (HAPI) codes and demonstrate their utility for parallel multi-transmitter synthetic aperture imaging. The codes are tri-state and sparse.
Tarek Kaddoura, Roger J. Zemp
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We show that any family of universal quantum gates can be implemented based on a single optical hybrid/Mach-Zehnder interferometer (MZI)/directional coupler (DC) and either a highly nonlinear optical fiber or a tap coupler with an avalanche photodiode ...
Ivan B. Djordjevic
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Dictionary Learning-based Inpainting on Triangular Meshes [PDF]
The problem of inpainting consists of filling missing or damaged regions in images and videos in such a way that the filling pattern does not produce artifacts that deviate from the original data. In addition to restoring the missing data, the inpainting
Fuentes Perez, Lizeth J +4 more
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Image Classification Based on Neighborhood Preserving Embedding Sparse Coding [PDF]
Aiming at the problem of image classification with a complex background,this paper proposes a new image algorithm based on Neighborhood Preserving Embedding regularization Sparse Coding algorithm(NPESC).Comparing with traditional sparse coding,it adds ...
GAO Jiaxue,CHEN Xiuhong
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51 pages, 12 figures, submitted to IEEE Transactions on Information ...
Yang, Shenghao, Yeung, Raymond W.
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