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Compressive Sensing in Quantum Chemistry: A Little Computation Goes a Long Way
2015
ACS Central Science
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The exploitation of inherent sparsity, or the pattern of zeros or near-zero terms in a matrix, is a common theme in many of these numerical algorithms. ...
This progress stems from massive gains in computer hardware, advances in physical models (effective density functionals, for example), and creative numerical algorithms that maximize the efficiency with ...
chemistry, and all chemists will benefit from the new efficiences and physical insights yielded by these models. ...
doi:10.1021/acscentsci.5b00062
pmid:27162940
pmcid:PMC4827478
fatcat:ohlyhwtmsnbdvdzhji4vafkzsy
An Adaptive Difference Distribution-Based Coding with Hierarchical Tree Structure for DNA Sequence Compression
2013
2013 Data Compression Conference
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Previous reference-based compression on DNA sequences do not fully exploit the intrinsic statistics by merely concerning the approximate matches. ...
In this paper, an adaptive difference distribution-based coding framework is proposed by the fragments of nucleotides with a hierarchical tree structure. ...
Acknowledgement The work has been partially supported by the NSFC, under Grants U1201255, 61271218, 61271211, and 61228101. X. Jiang and L. ...
doi:10.1109/dcc.2013.45
pmid:26501129
pmcid:PMC4617277
dblp:conf/dcc/DaiXJO13
fatcat:wllx4iysqvai3bupphd6rnuld4
Semantic Database Compression System Based on Augmented Vector Quantization
2015
Journal of Software
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In this paper, we propose a database compression system that takes advantage of attributes semantics and data-mining models to find frequent attribute pattern with maximum gain to perform compression of ...
massive table's data. ...
In this paper we have described a novel database compression system that exploits attribute semantics and data-mining model to effectively compress massive data tables. ...
doi:10.17706//jsw.10.10.1127-113
fatcat:kehfuca3snbrnjbf3eac4oujc4
Semantic Database Compression System Based on Augmented Vector Quantization
2015
Journal of Software
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In this paper, we propose a database compression system that takes advantage of attributes semantics and data-mining models to find frequent attribute pattern with maximum gain to perform compression of ...
massive table's data. ...
In this paper we have described a novel database compression system that exploits attribute semantics and data-mining model to effectively compress massive data tables. ...
doi:10.17706/jsw.10.10.1127-1139
fatcat:aefessqb2jh6nlxrh245cnafei
Technical strategies for massive model visualization
2008
Proceedings of the 2008 ACM symposium on Solid and physical modeling - SPM '08
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Figure 1 : Examples of massive models. ...
We argue that developing efficient data access and data management techniques is key in solving the problem of interactive visualization of massive models. ...
This work was partially supported by: the Italian Ministry of University and Research under grant CYBERSAR; a KAIST seed grant; the MIC, under grant "Development of Elemental Technology for Promoting Digital ...
doi:10.1145/1364901.1364960
dblp:conf/sma/GobbettiKY08
fatcat:t65dyj6jrfcgrjivf2od4ok6cq
Technical strategies for massive model visualization
2008
ACM SIGGRAPH ASIA 2008 courses on - SIGGRAPH Asia '08
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Figure 1 : Examples of massive models. ...
We argue that developing efficient data access and data management techniques is key in solving the problem of interactive visualization of massive models. ...
This work was partially supported by: the Italian Ministry of University and Research under grant CYBERSAR; a KAIST seed grant; the MIC, under grant "Development of Elemental Technology for Promoting Digital ...
doi:10.1145/1508044.1508073
fatcat:5zkxt75corampkusiaylcxdsva
Deep Learning for Massive MIMO Channel State Acquisition and Feedback
[article]
2020
arXiv
pre-print
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This paper provides an overview of how neural networks (NNs) can be used in the training process of massive MIMO systems to improve the performance by reducing the CSI acquisition overhead and to reduce ...
with high spectral and energy efficiency. ...
6dB improvement in NMSE compared to model-based CSI compression techniques in the literature exploiting sparsity of the channel gain matrix [34] . ...
arXiv:2002.06945v3
fatcat:rsrkcgdq5rabvf5gmftabna6va
Bayesian compressed sensing-based channel estimation for massive MIMO systems
2016
2016 European Conference on Networks and Communications (EuCNC)
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The efficient and highly accurate channel state information (CSI) at the base station is essential to achieve the potential benefits of massive multiple input multiple output (MIMO) orthogonal frequency ...
is therefore proposed for the uplink of multi-user massive MIMO systems. ...
cells by following a specific reuse pattern. ...
doi:10.1109/eucnc.2016.7561063
dblp:conf/eucnc/Al-SalihiN16
fatcat:kgwhdkjhjfftjp4grrhyxfwcua
Deep Learning for Massive MIMO Channel State Acquisition and Feedback
2020
Journal of the Indian Institute of Science
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with high spectral and energy efficiency. ...
Reducing the training overhead in massive MIMO systems has been a major topic of research since the emergence of the concept. ...
Acknowledgements This work was supported by the European Research Council (ERC) through project BEA-CON (Grant No. 677854). ...
doi:10.1007/s41745-020-00169-2
pmid:32624647
pmcid:PMC7319300
fatcat:wau7u3ennvgv3eauhlk46gawr4
Massive Access for Future Wireless Communication Systems
[article]
2020
arXiv
pre-print
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, the design of low complexity and energy-efficient massive access coding and communication schemes, efficient methods for the detection of a relatively small number of active users among a large number ...
of potential user devices with sporadic transmission pattern, and the integration of massive access with massive MIMO and other important wireless communication technologies. ...
By exploiting this sporadic traffic, a compressive sensing-based scheme is proposed to detect user activity and estimate the channels for massive access in massive MIMO systems [25] . ...
arXiv:1910.12678v5
fatcat:qnc3vxft65adlpmfnd4j7nhkza
RasterZip
2012
Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12
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of massive datasets. ...
RasterZIP uses an optimized lossless encoding that exploits patterns of traffic data, like the fact that IP addresses tend to share a common prefix. ...
Repeated symbol compression: RasterZip efficiently compresses long sequences of repeated symbols (runs) using a technique based on run-length encoding (RLE) principles. ...
doi:10.1145/2398776.2398783
dblp:conf/imc/FuscoVD12
fatcat:okm6lfs2lfde5axrh2sajb4yom
Decoupling Channel Estimation for FDD Massive MIMO Systems Utilizing Joint Sparsity
2020
IEEE Access
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by more than two orders of magnitude. ...
INDEX TERMS Angle domain, channel estimation, compressive sensing, delay domain, massive multiple-input-multiple-output, pilot design, sparsity. ...
By exploiting the channel sparsity, CS-based channel estimation with non-orthogonal pilot design can provide the efficient compression and reliable recovery of the sparse channel matrix. ...
doi:10.1109/access.2020.2991084
fatcat:h72suy5rtfgsxobykqv3c67hdq
Massively-Parallel Lossless Data Decompression
[article]
2016
arXiv
pre-print
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While decompression can be parallelized somewhat by assigning each data block to a different process, break-through speed-ups require exploiting the massive parallelism of modern multi-core processors ...
We propose two new techniques to increase the degree of parallelism during decompression. The first technique exploits the massive parallelism of GPU and SIMD architectures. ...
ACKNOWLEDGMENT Authors Evangelia Sitaridi and Kenneth Ross were partially supported by National Science Foundation grant IIS-1218222 and by an equipment gift from NVIDIA Corporation. ...
arXiv:1606.00519v1
fatcat:ywu6e6zrbrcvrdecrgnn7acd7a
A Survey on Data Compression Methods for Biological Sequences
2016
Information
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Then, we present a comparison of the performance of several methods, in terms of compression ratio, memory usage and compression/decompression time. ...
Also, we devote an important part of the paper to the approaches proposed for the compression of different file formats, such as FASTA, as well as FASTQ and SAM/BAM, which contain quality scores and metadata ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/info7040056
fatcat:khkh5h6425adpdcojg2b7zudjy
Design of Effective Lossless Data Compression Technique for Multiple Genomic DNA Sequences
2021
Zenodo
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The DNA sequences can be efficiently compressed only by exploiting the special properties of DNA [14] . ...
Few researches have only been performed on the compressions of genome datasets. Conventional compression techniques operate by identifying the repeated patterns for DNA encoding. ...
doi:10.5281/zenodo.5497475
fatcat:wgqg5ncsinbqnpwmicxda4wbpq
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