Results 21 to 30 of about 745,204 (238)

Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding

open access: yesEntropy, 2020
In order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner–Ziv
Wei Wang, Jianhua Chen
doaj   +1 more source

Highly reliable and efficient encoding systems for hexadecimal polypeptide-based data storage

open access: yesFundamental Research, 2023
Polypeptides consisting of amino acid (AA) sequences are suitable for high-density information storage. However, the lack of suitable encoding systems, which accommodate the characteristics of polypeptide synthesis, storage and sequencing, impedes the ...
Yubin Ren   +9 more
doaj   +1 more source

High-Speed Architecture for Hybrid Arithmetic–Huffman Data Compression

open access: yesTechnologies
This paper proposes a hardware–software co-design for adaptive lossless compression based on Hybrid Arithmetic–Huffman Coding, a table-driven approximation of arithmetic coding that preserves near-optimal compression efficiency while eliminating the ...
Yair Wiseman
doaj   +1 more source

Tradeoff between compression ratio and decoding delay of distributed source coding for uplink transmissions in machine-type communication

open access: yesInternational Journal of Distributed Sensor Networks, 2018
Rapid growth of machine-type communications devices challenges the future network with a significant aggregated data traffic. Distributed source coding is a promising technique that compresses data sources and decreases required aggregated data ...
Wen Wang   +3 more
doaj   +1 more source

Fast and Efficient Entropy Coding Architectures for Massive Data Compression

open access: yesTechnologies, 2023
The compression of data is fundamental to alleviating the costs of transmitting and storing massive datasets employed in myriad fields of our society. Most compression systems employ an entropy coder in their coding pipeline to remove the redundancy of ...
Francesc Auli-Llinas
doaj   +1 more source

Lossless medical image compression through lightweight binary arithmetic coding

open access: yes, 2017
A contextual lightweight arithmetic coder is proposed for lossless compression of medical imagery. Context definition uses causal data from previous symbols coded, an inexpensive yet efficient approach.
Bartrina Rapesta, Joan   +11 more
core   +1 more source

How and Why Do Number-Space Associations Co-Vary in Implicit and Explicit Magnitude Processing Tasks?

open access: yesJournal of Numerical Cognition, 2017
Evidence for number-space associations in implicit and explicit magnitude processing tasks comes from the parity and magnitude SNARC effect respectively.
Carrie Georges   +2 more
doaj   +1 more source

Entropy coding in video compression using probability interval partitioning

open access: yes, 2022
S.66-69We present a novel approach to entropy coding, which provides the coding efficiency and simple probability modeling capability of arithmetic coding at the complexity level of Huffman coding.
Marpe, D., Schwarz, H., Wiegand, T.
core   +1 more source

Motion estimation and CABAC VLSI co-processors for real-time high-quality H.264/AVC video coding [PDF]

open access: yes, 2010
Real-time and high-quality video coding is gaining a wide interest in the research and industrial community for different applications. H.264/AVC, a recent standard for high performance video coding, can be successfully exploited in several scenarios ...
Saponara, S.   +17 more
core   +1 more source

Soft and Joint Source-Channel Decoding of Quasi-Arithmetic Codes

open access: yesEURASIP Journal on Advances in Signal Processing, 2004
The issue of robust and joint source-channel decoding of quasi-arithmetic codes is addressed. Quasi-arithmetic coding is a reduced precision and complexity implementation of arithmetic coding. This amounts to approximating the distribution of the source.
Guionnet Thomas, Guillemot Christine
doaj   +1 more source

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