Results 21 to 30 of about 26,272 (260)
Universal Adaptive Stream-Based Entropy Coding
IEEE AccessData stream is a major data type in modern information equipment such as sensory and video/sound devices, which is fast and continuously generated without any stall cycle. Due to artificial intelligence becoming a common tool to extend application domain
Shinichi Yamagiwa, Taiki Kato
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Lossless Compression of Sensor Signals Using an Untrained Multi-Channel Recurrent Neural Predictor
Applied Sciences, 2021 The use of sensor applications has been steadily increasing, leading to an urgent need for efficient data compression techniques to facilitate the storage, transmission, and processing of digital signals generated by sensors. Unlike other sequential data
Qianhao Chen, Wenqi Wu, Wei Luo
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Entropy of a Quantum Error Correction Code [PDF]
Open Systems & Information Dynamics, 2008 We define and investigate the notion of entropy for quantum error correcting codes. The entropy of a code for a given quantum channel has a number of equivalent realisations, such as through the coefficients associated with the Knill-Laflamme conditions and the entropy exchange computed with respect to any initial state supported on the code.
David W. Kribs +2 more
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The Compression Optimality of Asymmetric Numeral Systems
Entropy, 2023 Source coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming, for instance) renews interest in fast compression that also squeezes out as much redundancy as ...
Josef Pieprzyk +5 more
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Analysis of the Limitations of Further Improvement of the Efficiency of VVC-CABAC
IEEE Access, 2023 Hybrid video compression plays an invaluable role in digital video transmission and storage services and systems. It performs several-hundred-fold reduction in the amount of video data, which makes these systems much more efficient.
Damian Karwowski +3 more
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Sensors, 2019 Within an Internet of Multimedia Things, the risk of disclosing streamed video content, such as that arising from video surveillance, is of heightened concern. This leads to the encryption of that content.
Amna Shifa +4 more
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Faster Relative Entropy Coding with Greedy Rejection Coding
Advances in Neural Information Processing Systems 36, 2023 Relative entropy coding (REC) algorithms encode a sample from a target distribution $Q$ using a proposal distribution $P$ using as few bits as possible. Unlike entropy coding, REC does not assume discrete distributions or require quantisation.
Gergely Flamich +2 more
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Precise Estimation of Probabilities in CABAC Using the Cauchy Optimization Method
IEEE Access, 2020 The algorithm of entropy coding that is now widely used in video compression is the Context-based Adaptive Binary Arithmetic Coding (CABAC). This paper presents a modified, improved version of CABAC, called the CABAC+.
Damian Karwowski
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Entropy of Neuronal Spike Patterns
EntropyNeuronal spike patterns are the fundamental units of neural communication in the brain, which is still not fully understood. Entropy measures offer a quantitative framework to assess the variability and information content of these spike patterns.
Artur Luczak
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Entropy Coding Aided Adaptive Subcarrier-Index Modulated OFDM
IEEE Access, 2018 We propose entropy coding-aided adaptive subcarrier-index-modulated orthogonal frequency division multiplexing (SIM-OFDM). In conventional SIM-OFDM, the indices of the subcarriers activated are capable of conveying extra information. We propose the novel
Mohammad Ismat Kadir +3 more
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