Results 31 to 40 of about 796,535 (249)
IET Communications, 2023 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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Multilevel structured low-density parity-check codes [PDF]
, 2008 Low-Density Parity-Check (LDPC) codes are typically characterized by a relatively high-complexity description, since a considerable amount of memory is required in order to store their code description, which can be represented either by the connections ...
S. Chen +5 more
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Sparse Spectrotemporal Coding of Sounds [PDF]
EURASIP Journal on Advances in Signal Processing, 2003 Summary: Recent studies of biological auditory processing have revealed that sophisticated spectrotemporal analyses are performed by central auditory systems of various animals. The analysis is typically well matched with the statistics of relevant natural sounds, suggesting that it produces an optimal representation of the animal's acoustic biotope ...
David J. Klein +2 more
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Measurement-induced phase transitions in sparse nonlocal scramblers
Physical Review Research, 2022 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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Semi-supervised sparse coding [PDF]
2014 International Joint Conference on Neural Networks (IJCNN), 2014 Sparse coding approximates the data sample as a sparse linear combination of some basic codewords and uses the sparse codes as new presentations. In this paper, we investigate learning discriminative sparse codes by sparse coding in a semi-supervised manner, where only a few training samples are labeled.
Jim Jing-Yan Wang, Xin Gao 0001
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IEEE Photonics Journal, 2010 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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A Protocol Design Paradigm for Batched Sparse Codes
Entropy, 2020 Internet of Things (IoT) connects billions of everyday objects to the Internet. The mobility of devices can be facilitated by means of employing multiple wireless links.
Hoover H. F. Yin +2 more
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Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images. [PDF]
PLoS Computational Biology, 2013 The sparse coding hypothesis has enjoyed much success in predicting response properties of simple cells in primary visual cortex (V1) based solely on the statistics of natural scenes. In typical sparse coding models, model neuron activities and receptive
Joel Zylberberg, Michael Robert DeWeese
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Fast Convolutional Sparse Coding [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 Sparse coding has become an increasingly popular method in learning and vision for a variety of classification, reconstruction and coding tasks. The canonical approach intrinsically assumes independence between observations during learning. For many natural signals however, sparse coding is applied to sub-elements ( i.e.
Hilton Bristow +2 more
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Applied Sciences, 2022 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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