Results 1 to 10 of about 1,321,155 (184)
A Novel Low Complexity Faster-than-Nyquist (FTN) Signaling Detector for Ultra High-Order QAM
IEEE Open Journal of the Communications Society, 2021 Faster-than-Nyquist (FTN) signaling is a promising non-orthogonal pulse modulation technique that can improve the spectral efficiency (SE) of next generation communication systems at the expense of higher detection complexity to remove the introduced ...
Ahmed Ibrahim +2 more
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Low-Complexity Detection Algorithms Applied to FTN-GFDM Systems
IEEE Access, 2022 New applications for mobile networks are driving up data rates, requiring new solutions to meet the demand for throughput. In urban and densely populated areas, massive multiple-input multiple-output, high bands in millimeter waves, and ultra-dense ...
Mariana B. Mello, Luciano L. Mendes
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Entropy estimation in bidimensional sequences
Physical Review E, 2022 10 pages, 7 ...
F. N. M. de Sousa Filho +2 more
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Estimating sequencing error rates using families [PDF]
BioData Mining, 2021 Abstract Background As next-generation sequencing technologies make their way into the clinic, knowledge of their error rates is essential if they are to be used to guide patient care. However, sequencing platforms and variant-calling pipelines are continuously evolving, making it difficult to accurately quantify error ...
Kelley Paskov +7 more
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Blind Estimation of Self-Synchronous Scrambler in DSSS Systems
IEEE Access, 2021 Self-synchronous scramblers are more difficult to blindly estimate than synchronous scramblers because their input sequence affects the state of the scrambler’s linear feedback shift register.
Dongyeong Kim, Dongweon Yoon
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Compressed Sensing Channel Estimation Based on Heterogeneous Pilot 60 GHz System [PDF]
Jisuanji gongcheng, 2016 The compressed sensing theory and its channel estimation algorithm are researched in this paper.Combined with the characteristics of 60 GHz system pilot structure,the heterogeneous pilot compressed sensing channel estimation algorithm is proposed in this
CHEN Kun,ZHAO Yingxin,WU Honga,b,WANG Xiaomina,b,LIU Yonga,b,WANG Qiqia,b,TANG Rana,b,CI Chenga,b
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Object Recognition at Higher Regions of the Ventral Visual Stream via Dynamic Inference
Frontiers in Computational Neuroscience, 2020 The ventral visual stream (VVS) is a fundamental pathway involved in visual object identification and recognition. In this work, we present a hypothesis of a sequence of computations performed by the VVS during object recognition.
Siamak K. Sorooshyari +2 more
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Haplotype Estimation Using Sequencing Reads [PDF]
The American Journal of Human Genetics, 2013 High-throughput sequencing technologies produce short sequence reads that can contain phase information if they span two or more heterozygote genotypes. This information is not routinely used by current methods that infer haplotypes from genotype data.
Delaneau, O +4 more
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Entropy estimation of symbol sequences [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 1996 We discuss algorithms for estimating the Shannon entropy h of finite symbol sequences with long range correlations. In particular, we consider algorithms which estimate h from the code lengths produced by some compression algorithm. Our interest is in describing their convergence with sequence length, assuming no limits for the space and time ...
Schürmann, Thomas, Grassberger, Peter
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Attenuation Estimation From Correlated Sequences [PDF]
IEEE Transactions on Signal Processing, 2007 We calculate the frequency-dependent variance of the log spectral ratio for correlated time series. This is used to produce a weighted least-squares approach to attenuation estimation, with weights calculated from estimated coherence. Applications to synthetic and real data illustrate that, for correlated series, the method improves significantly on ...
Medkour, T, Walden, AT
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