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Compressive Sensing in Quantum Chemistry: A Little Computation Goes a Long Way

Gregory J. O. Beran
2015 ACS Central Science  
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

Wenrui Dai, Hongkai Xiong, Xiaoqian Jiang, L. Ohno-Machado
2013 2013 Data Compression Conference  
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

Saad M. Darwish
2015 Journal of Software  
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

Saad M. Darwish, Saleh M. El-Kaffas, Omar A. Abdulateef
2015 Journal of Software  
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

Enrico Gobbetti, Dave Kasik, Sung-eui Yoon
2008 Proceedings of the 2008 ACM symposium on Solid and physical modeling - SPM '08  
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

Enrico Gobbetti, Dave Kasik, Sung-eui Yoon
2008 ACM SIGGRAPH ASIA 2008 courses on - SIGGRAPH Asia '08  
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]

Mahdi Boloursaz Mashhadi, Deniz Gündüz
2020 arXiv   pre-print
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

Hayder Al-Salihi, Mohammad Reza Nakhai
2016 2016 European Conference on Networks and Communications (EuCNC)  
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

Mahdi Boloursaz Mashhadi, Deniz Gündüz
2020 Journal of the Indian Institute of Science  
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]

Yongpeng Wu, Xiqi Gao, Shidong Zhou, Wei Yang, Yury Polyanskiy, and Giuseppe Caire
2020 arXiv   pre-print
, 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

Francesco Fusco, Michail Vlachos, Xenofontas Dimitropoulos
2012 Proceedings of the 2012 ACM conference on Internet measurement conference - IMC '12  
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

Xiangyu Yan, Li Chen, Huarui Yin, Weidong Wang
2020 IEEE Access  
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]

Evangelia Sitaridi, Rene Mueller, Tim Kaldewey, Guy Lohman, Kenneth Ross
2016 arXiv   pre-print
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

Morteza Hosseini, Diogo Pratas, Armando Pinho
2016 Information  
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

Alireza Souri2 Mahmud Alosta1
2021 Zenodo  
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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