Results 21 to 30 of about 15,344 (252)
Modifikasi Algoritme J-Bit Encoding untuk Meningkatkan Rasio Kompresi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2017 J-bit encoding is a lossless data compression algorithm that manipulates each bit of file data in order to minimize the size by dividing data into two outputs and combining data into two outputs.
Johanes K.M. Lobang, Pranowo, Suyoto
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Combined coding of bit planes of images
Системный анализ и прикладная информатика, 2019 The aim of this work is to reduce the computational complexity of lossless compression in the spatial domain due to the combined coding (arithmetic and Run-Length Encoding) of a series of bits of bit planes.
B. J.S. Sadiq +2 more
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Entropy, 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
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Highly reliable and efficient encoding systems for hexadecimal polypeptide-based data storage
Fundamental 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
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High-Speed Architecture for Hybrid Arithmetic–Huffman Data Compression
TechnologiesThis 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
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International 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
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Fast and Efficient Entropy Coding Architectures for Massive Data Compression
Technologies, 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
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Journal 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
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Arithmetic completely regular codes [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 In this paper, we explore completely regular codes in the Hamming graphs and related graphs. Experimental evidence suggests that many completely regular codes have the property that the eigenvalues of the code are in arithmetic progression. In order to better understand these "arithmetic completely regular codes", we focus on cartesian products of ...
Jacobus Koolen +3 more
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Soft and Joint Source-Channel Decoding of Quasi-Arithmetic Codes
EURASIP 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
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