Results 21 to 30 of about 132,978 (290)
On Transmitted Complexity Based on Modified Compound States
Entropy, 2023 Based on the classical dynamical entropy, the channel coding theorem is investigated. Attempts to extend the dynamical entropy to quantum systems have been made by several researchers In 1999, Kossakowski, Ohya and I introduced the quantum dynamical ...
Noboru Watanabe
doaj +1 more source
Quantum Coding Theorem for Mixed States [PDF]
, 1995 We prove a theorem for coding mixed-state quantum signals. For a class of coding schemes, the von Neumann entropy $S$ of the density operator describing an ensemble of mixed quantum signal states is shown to be equal to the number of spin-$1/2$ systems ...
Anandan +11 more
core +3 more sources
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
doaj +1 more source
Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard
Entropy, 2021 In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard.
Dariusz Puchala +2 more
doaj +1 more source
R\'enyi Bounds on Information Combining
, 2020 Bounds on information combining are entropic inequalities that determine how the information, or entropy, of a set of random variables can change when they are combined in certain prescribed ways. Such bounds play an important role in information theory,
Hirche, Christoph
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
Smooth Renyi Entropies and the Quantum Information Spectrum
, 2008 Many of the traditional results in information theory, such as the channel coding theorem or the source coding theorem, are restricted to scenarios where the underlying resources are independent and identically distributed (i.i.d.) over a large number of
Datta, Nilanjana, Renner, Renato
core +1 more source
IEEE Access, 2020 As speed of communication data path is drastically improved in this decade due to the high data rate, evolutional technology is demanded to address the fast communication implementation.
Shinichi Yamagiwa, Suzukaze Kuwabara
doaj +1 more source
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
doaj +1 more source