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Blind Demixing for Low-Latency Communication
[article]
2018
arXiv
pre-print
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In this paper, a novel blind demixing approach is developed to reduce the channel signaling overhead, thereby supporting low-latency communication. ...
A scalable Riemannian trust-region algorithm is then developed to solve the blind demixing problem efficiently with fast convergence rates and low iteration cost. ...
CONCLUSION AND FUTURE WORK In this paper, we presented the blind demixing approach to support low-latency communication without any channel estimation in OFDM system, for which a low-rank modeling approach ...
arXiv:1801.02158v2
fatcat:5t5hi73zo5bwvfcw7ncddnfm4q
Table of contents
2019
IEEE Transactions on Wireless Communications
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Roman Kovalchukov, Dmitri Moltchanov, Andrey Samuylov, Aleksandr Ometov, Sergey Andreev, Yevgeni Koucheryavy, and Konstantin Samouylov Blind Demixing for Low-Latency Communication ..................... ...
Changyan Yi and Jun Cai Alamouti Coding for DFT Spreading-Based Low PAPR FBMC ............................................ ...
doi:10.1109/twc.2019.2896425
fatcat:vw74yvcqorek5efc4ee2nxhibq
A New Robust Decoding Technique of Four Transmitters MIMO STBC System based on FastICA Algorithm
2021
International Journal of Intelligent Engineering and Systems
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Also, this paper includes suitable initializing for the de-mixing vector to solve the ambiguities problem of sign and source of blind source separation (BSS). ...
This decoding technique is characterized by i) complexity is very low, ii) the speed is high and iii) BER performance is excellent. ...
value for demixing vector and the first column of MLS must be equal. ...
doi:10.22266/ijies2021.0228.18
fatcat:p5ebpxn6uvdhfnockcp2inesmm
Blind Source Separation For Full-Duplex Systems: Potential and Challenges
2021
IEEE Open Journal of the Communications Society
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In this article, we discuss using blind source separation techniques, namely Independent Component Analysis (ICA) to reduce training overhead in MIMO in-band full-duplex wireless communication systems. ...
Practical limitations are discussed and experimental results that compare ICA to traditional Least Square approaches are presented, showing the superiority of ICA, especially in low SNR regimes. ) ...
Furthermore, these advantages make IBFD a key enabling technology for extremely low latency and highreliability communications targeting 5G ultra-reliable and low latency (URLLC) services [4] , [5] ...
doi:10.1109/ojcoms.2021.3086105
fatcat:nw5y4hiobffsldjmr4reb4j77u
Wideband physical layer cognitive radio with an integrated photonic processor for blind source separation
[article]
2022
arXiv
pre-print
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Our system also has high (9-bit) accuracy for signal demixing thanks to a recently developed dithering control method, resulting in higher signal-to-interference ratios (SIR) even for ill-conditioned mixtures ...
Here, we report a photonic BSS approach that inherits the advantages of optical devices and can fully fulfill its "blindness" aspect. ...
It is also worth noting that most of the signal path is in the optical domain, bringing about broadband and flat response and very low latency. ...
arXiv:2205.05046v3
fatcat:mu2z7wyttng45hxwrjtficp7fi
Configurable Independent Component Analysis Preprocessing Accelerator
[article]
2022
arXiv
pre-print
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This paper presents a high-throughput and highly efficient configurable preprocessing accelerator for the ICA algorithm. ...
The proposed ICA accelerator has three major blocks that perform data centering, covariance matrix for computation, and eigenvalue decomposition (EVD). ...
In ICA, the demixing matrix is estimated by searching for orthogonal vectors iteratively. ...
arXiv:2201.03206v2
fatcat:76c27kze7ngk7f54cshpg3pqni
Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI Paradigms
2020
Frontiers in Human Neuroscience
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and a low-rank nature in the frequency domain. ...
In addition, artifact reduction using the ILRMA approach clearly improved (by over 70%) the averaged BCI performances using artifact-reduced data sufficiently for most needs of the BCI community. ...
For denoising the contamination effects in EEG analysis, the well-known and powerful blind source separation (BSS) technique based on independent component analysis (ICA) has been widely used for the last ...
doi:10.3389/fnhum.2020.00173
pmid:32581739
pmcid:PMC7296171
fatcat:yzj4dq3gurb27ilohujk7jv4bi
Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot
2017
Journal of Robotics and Mechatronics
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For achieving both low latency and high quality, our system combines online and offline human-voice enhancement, providing an overview first and then details on demand. ...
for a hose-shaped rescue robot. ...
A human-voice enhancement system for a hose-shaped rescue robot requires low latency for search-and-rescue activities. ...
doi:10.20965/jrm.2017.p0198
fatcat:vrourtqy3ngdpg2njxwfbxtibq
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow
[article]
2018
arXiv
pre-print
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To overcome its reliance on channel station information (CSI), this work proposes a novel blind over-the-air computation (BlairComp) without requiring CSI access, particularly for low complexity and low ...
latency IoT networks. ...
Recently, blind demixing has become a powerful tool to elude channel-state-information (i.e., without channel estimation at both transmitters and receivers) thereby enabling low-latency communications ...
arXiv:1811.04644v1
fatcat:76x5bb5oyzabxgks2bdhhxuihq
Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
[article]
2020
arXiv
pre-print
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Experiments were performed on an FD platform where FICA-based BSS was applied for SIC in the frequency domain. ...
The complex mixing problem is mathematically formulated to suit the real-valued blind source separation (BSS) algorithms. ...
i.e. the latency of FICA-SIC is O(N), relative to O(1) for LS-SIC which serves other functions such as decoding. ...
arXiv:2001.00962v1
fatcat:vvaicsfytrewrla5b2osnv3iwy
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
[article]
2021
arXiv
pre-print
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However, state-of-the-art deep learning and big data analytics based AI systems require tremendous computation and communication resources, causing significant latency, energy consumption, network congestion ...
In this paper, we shall provide our vision for scalable and trustworthy edge AI systems with integrated design of wireless communication strategies and decentralized machine learning models. ...
The key observation is that blind demixing is able to perform low-latency data decoding for multiple users from the sum of bilinear measurements without channel estimation at both the transmitters and ...
arXiv:2111.12444v1
fatcat:crrbtfylvjeihogumggdnxcbpq
Study of the origin of short- and long-latency SSEP during recovery from brain ischemia in a rat model
2010
Neuroscience Letters
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Somatosensory evoked potentials (SSEPs) have been established as an electrophysiological tool for the prognostication of neurological outcome in patients with hypoxic-ischemic brain injury. ...
With the help of ICA decomposition and corrected peak estimation, the latency of LL-SSEP is shown to be predictive of long-term neurological outcome. ...
Youngseok Choi and Huaijian Zhang for helpful discussions on signal processing. ...
doi:10.1016/j.neulet.2010.08.086
pmid:20816917
pmcid:PMC2997340
fatcat:vpqllchzijdedoho5hsr6sxidi
Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface
2007
Computational Intelligence and Neuroscience
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Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output device bypassing conventional motor output pathways of nerves and muscles. ...
Modern BCI technology is essentially based on techniques for the classification of single-trial brain signals. ...
For blind deconvolution problem, Amari et al. ...
doi:10.1155/2007/37695
pmid:18354735
pmcid:PMC2267213
fatcat:eclgex2igred7gpa2hc4mtnlh4
Controlling a Rehabilitation Robot with Brain-Machine Interface: An approach based on Independent Component Analysis and Multiple Kernel Learning
2013
International Journal of Automation and Smart Technology
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Using the BCRS, patients can communicate with the robot through their brain waves. ...
The ICA-MKL approach for brain imagery data also effectively removes eye-blink artifacts. ...
Independent component analysis (ICA) has been proven to be an effective method for blind source separation (BSS), and has been widely used in the BCI community for separating artifacts from measured EEG ...
doi:10.5875/ausmt.v3i1.175
fatcat:xsu3koxzoza4re3ypfl6cte2tu
Sparse Signal Processing Concepts for Efficient 5G System Design
2015
IEEE Access
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2014 pre-print arXiv:1411.0435v1 fatcat:n4xwh2hwxred7eaost4xj72vn4Other Versions
As it becomes increasingly apparent that 4G will not be able to meet the emerging demands of future mobile communication systems, the question what could make up a 5G system, what are the crucial challenges ...
Signal sparsity and the associated rich collection of tools and algorithms will thus be a viable source for innovation in 5G wireless system design. ...
Another example is the ultra-low latency requirement in the TI. ...
doi:10.1109/access.2015.2407194
fatcat:g5bkjwwdorasfmsmnfngfkptdm
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