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Artykuły w czasopismach na temat „Channel tracking”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 29 stycznia 2023

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1

Kao, Yang-Ta, Hsiau-Wen Lin, and Dai-Yi Qiu. "Implementation of Offline Consumer Behavior Tracking." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 09 (May 4, 2021): 2150028. http://dx.doi.org/10.1142/s0218001421500282.

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Due to declining trading volume growth in e-commerce platforms, physical channels have attracted considerable investments from various large international companies (e.g. Alibaba, JD, Walmart, Wanda, and Wuzhou International). However, e-commerce platforms can track consumers’ behaviors (attraction to landing page design, clicks on certain products, consumer behavior trajectory tracking, clicks on advertisements, and internal link optimization of product pages), a feat unachievable in current physical channels. Consequently, this study attempted to apply the characteristics of online channels

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Kohli, Amit Kumar, Amrita Rai, and Meher Krishna Patel. "Variable Forgetting Factor LS Algorithm for Polynomial Channel Model." ISRN Signal Processing 2011 (December 30, 2011): 1–4. http://dx.doi.org/10.5402/2011/915259.

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Variable forgetting factor (VFF) least squares (LS) algorithm for polynomial channel paradigm is presented for improved tracking performance under nonstationary environment. The main focus is on updating VFF when each time-varying fading channel is considered to be a first-order Markov process. In addition to efficient tracking under frequency-selective fading channels, the incorporation of proposed numeric variable forgetting factor (NVFF) in LS algorithm reduces the computational complexity.

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3

Li, Yongzhi, Cheng Tao, Yapeng Li, Liu Liu, and Tao Zhou. "Investigation of Sphere Decoder and Channel Tracking Algorithms for Media-Based Modulation over Time-Selective Channels." Wireless Communications and Mobile Computing 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2509824.

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The performance of media-based modulation (MBM) systems, where additional information can be conveyed by the indices of the channel states created by RF mirrors, over time-selective channels is investigated. By transforming the MBM system model into a traditional MIMO system model, we first propose a reduced complexity sphere decoder algorithm. Then two channel tracking algorithms, which are based on least mean square adaptive filter and recursive least-squares adaptive filter, are employed in order to combat the performance loss caused by the time-varying channels. Numerical results show that

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4

Vollmer, Mario, Swen Zaremba, Pierre Mertiny, and Klaus Drechsler. "Edge Race-Tracking during Film-Sealed Compression Resin Transfer Molding." Journal of Composites Science 5, no. 8 (July 21, 2021): 195. http://dx.doi.org/10.3390/jcs5080195.

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Edge race-tracking is a frequently reported issue during resin transfer molding. It is caused by highly permeable channels and areas between the preform edge and cavity, which can significantly change the preform impregnation pattern. To date, information is scarce on the effect of edge race-tracking in compression resin transfer molding (CRTM). To close this gap, laboratory equipment was developed to study the CRTM preform impregnation via flow visualization experiments. The preform was thereby encapsulated in thin thermoplastic films sealing its impregnation. Film-sealed compression resin tr

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5

Yu, Jiyong, Mengjia Yan, Artem Khyzha, Adam Morrison, Josep Torrellas, and Christopher W. Fletcher. "Speculative taint tracking (STT)." Communications of the ACM 64, no. 12 (December 2021): 105–12. http://dx.doi.org/10.1145/3491201.

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Speculative execution attacks present an enormous security threat, capable of reading arbitrary program data under malicious speculation, and later exfiltrating that data over microarchitectural covert channels. This paper proposes speculative taint tracking (STT), a high security and high performance hardware mechanism to block these attacks. The main idea is that it is safe to execute and selectively forward the results of speculative instructions that read secrets, as long as we can prove that the forwarded results do not reach potential covert channels. The technical core of the paper is a

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6

YANG, QINGHAI, and KYUNG SUP KWAK. "PILOT-AIDED MULTIUSER CHANNEL ESTIMATION AND TRACKING IN MIMO-OFDM SYSTEMS." Journal of Circuits, Systems and Computers 16, no. 03 (June 2007): 319–35. http://dx.doi.org/10.1142/s0218126607003691.

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This paper addresses the pilot-aided multiuser least square (LS) channel estimation for the uplink of multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The systems under consideration allow all users use all available subcarriers independently and thus involve multiuser interference in the frequency domain. Direct application of the known pilot-aided single-user channel estimation methods to these systems is prohibited, requiring much more new investigations. The decentralized and centralized channel estimation algorithms are developed according t

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7

Dahiya, Suresh, and Arun Kumar Singh. "Channel estimation and channel tracking for correlated block-fading channels in massive MIMO systems." Digital Communications and Networks 4, no. 2 (April 2018): 138–47. http://dx.doi.org/10.1016/j.dcan.2017.07.006.

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8

Pham, Phuong Thi Thu, and Tomohisa Wada. "Effective Scheme of Channel Tracking and Estimation for Mobile WiMAX DL-PUSC System." Journal of Computer Systems, Networks, and Communications 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/806279.

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This paper introduces an effective joint scheme of channel estimation and tracking for downlink partial usage of subchannel (DL-PUSC) mode of mobile WiMAX system. Based on the pilot pattern of this particular system, some channel estimation methods including conventional interpolations and a more favorable least-squares line fitting (LSLF) technique are comparatively studied. Besides, channel estimation performance can be remarkably improved by taking advantage of channel tracking derived from the preamble symbol. System performances in terms of packet error rate (PER) and user link throughput

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9

Siddiq, Abdulrahman Ikram. "Variable Length Cyclic Prefix OFDM using Multipath Delay Tracking." Tikrit Journal of Engineering Sciences 18, no. 2 (June 30, 2011): 12–21. http://dx.doi.org/10.25130/tjes.18.2.02.

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The Cyclic Prefix (CP) technique is widely used in Orthogonal Frequency Division Multiplexing (OFDM) systems. A CP of length greater than the channel order guarantees the orthogonality of the consecutive OFDM symbols. Therefore, the effects of Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI) are cancelled. On the other hand, CP reduces the transmission efficiency.Conventional OFDM systems use constant length CP. For time varying channels, CP length may become shorter than channel order resulting in considerable loss in orthogonality and performance degradation. Otherwise, w

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10

Becker, Johannes K., David Li, and David Starobinski. "Tracking Anonymized Bluetooth Devices." Proceedings on Privacy Enhancing Technologies 2019, no. 3 (July 1, 2019): 50–65. http://dx.doi.org/10.2478/popets-2019-0036.

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Abstract Bluetooth Low Energy (BLE) devices use public (non-encrypted) advertising channels to announce their presence to other devices. To prevent tracking on these public channels, devices may use a periodically changing, randomized address instead of their permanent Media Access Control (MAC) address. In this work we show that many state-of-the-art devices which are implementing such anonymization measures are vulnerable to passive tracking that extends well beyond their address randomization cycles. We show that it is possible to extract identifying tokens from the pay-load of advertising

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11

Tami, Abdelkader, Mokhtar Keche, and Boubaker S. Bouazza. "New OSTBC for Blind Channel Estimation and Tracking in MIMO-OFDM Systems." Journal of Telecommunications and Information Technology 3 (September 30, 2019): 49–57. http://dx.doi.org/10.26636/jtit.2019.133819.

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Applying orthogonal space time block coding (OSTBC) to multiple-input multiple-output (MIMO) systems helps reduce receiver complexity. However, this approach has been applied only to ﬂat fading channels, as when the channel is a frequency selective fading MIMO channel, OSTBC cannot be used directly since its orthogonal propriety may be lost. Furthermore, the MIMO channel is not always known. To deal with this problem, many techniques were proposed to estimate the channel using a training sequence. Unfortunately, these techniques reduce the useful spectral bandwidth. This paper proposes OSTBC f

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12

Zhao, Long, Meng Zhu, Honge Ren, and Lingjixuan Xue. "Channel Exchanging for RGB-T Tracking." Sensors 21, no. 17 (August 28, 2021): 5800. http://dx.doi.org/10.3390/s21175800.

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It is difficult to achieve all-weather visual object tracking in an open environment only utilizing single modality data input. Due to the complementarity of RGB and thermal infrared (TIR) data in various complex environments, a more robust object tracking framework can be obtained using video data of these two modalities. The fusion methods of RGB and TIR data are the core elements to determine the performance of the RGB-T object tracking method, and the existing RGB-T trackers have not solved this problem well. In order to solve the current low utilization of information intra single modalit

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13

Gamal El-Din, Tamer M., Todd Scheuer, and William A. Catterall. "Tracking S4 movement by gating pore currents in the bacterial sodium channel NaChBac." Journal of General Physiology 144, no. 2 (July 28, 2014): 147–57. http://dx.doi.org/10.1085/jgp.201411210.

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Voltage-gated sodium channels mediate the initiation and propagation of action potentials in excitable cells. Transmembrane segment S4 of voltage-gated sodium channels resides in a gating pore where it senses the membrane potential and controls channel gating. Substitution of individual S4 arginine gating charges (R1–R3) with smaller amino acids allows ionic currents to flow through the mutant gating pore, and these gating pore currents are pathogenic in some skeletal muscle periodic paralysis syndromes. The voltage dependence of gating pore currents provides information about the transmembran

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14

Nechyporuk-Zloy, Volodymyr, Peter Dieterich, Hans Oberleithner, Christian Stock, and Albrecht Schwab. "Dynamics of single potassium channel proteins in the plasma membrane of migrating cells." American Journal of Physiology-Cell Physiology 294, no. 4 (April 2008): C1096—C1102. http://dx.doi.org/10.1152/ajpcell.00252.2007.

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Cell migration is an important physiological process among others controlled by ion channel activity. Calcium-activated potassium channels (KCa3.1) are required for optimal cell migration. Previously, we identified single human (h)KCa3.1 channel proteins in the plasma membrane by means of quantum dot (QD) labeling. In the present study, we tracked single-channel proteins during migration to classify their dynamics in the plasma membrane of MDCK-F cells. Single hKCa3.1 channels were visualized with QD- or Alexa488-conjugated antibodies and tracked at the basal cell membrane using time-lapse tot

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15

Khizhniak, A. V. "COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS." Doklady BGUIR, no. 7 (125) (December 7, 2019): 121–28. http://dx.doi.org/10.35596/1729-7648-2019-125-7-121-128.

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The paper discusses the work of the correlation algorithm for automatically tracking objects of interest in a two-channel optical-electronic system in a complex background-target environment and the presence of intentional interference. Conditions in which the contrast of the desired object in both channels is negligible but not equal to zero are considered difficult in the paper. Intentional interference refers to masking interference of natural and artificial origin, which helps to reduce the contrast of the object in both channels. By two-channel means an optical-electronic system, which in

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16

Chen, Honglin, Chunting Li, and Chaomurilige. "Research on the Correlation Filter Tracking Model Based on the Deep-Pruned Feature Network." Applied Sciences 12, no. 22 (November 12, 2022): 11490. http://dx.doi.org/10.3390/app122211490.

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Visual tracking is one of the key research fields in computer vision. Based on the combination of correlation filter tracking (CFT) model and deep convolutional neural networks (DCNNs), deep correlation filter tracking (DCFT) has recently become a critical issue in visual tracking because of CFT’s rapidity and DCNN’s better feature representation. However, DCNNs are often complex in structure, which most possibly results in the conflict between the rapidity and accuracy of DCFT. To reduce such conflict, this paper proposes a model mainly including: (1) Based on the pre-pruning network obtained

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17

Nasir, Qassim, and S. Faisal Ali Shah . "Predictive LMS for Mobile Channel Tracking." Journal of Applied Sciences 5, no. 2 (January 15, 2005): 337–40. http://dx.doi.org/10.3923/jas.2005.337.340.

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18

He, Zhiquan, and Xuejun Chen. "Object Tracking Based on Channel Attention." IEEE Access 8 (2020): 17824–32. http://dx.doi.org/10.1109/access.2020.2967031.

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19

Sheval, V. V., and A. I. Kimyaev. "STRUCTURAL ANALYSIS OF ON-BOARD MULTIMODE AUTO TRACKING SYSTEM." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 204 (June 2021): 3–11. http://dx.doi.org/10.14489/vkit.2021.06.pp.003-011.

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Two variants of two-channel structures of tracking systems has been introduced into consideration, which are sequentially used in two modes of operation of the on-board automatic tracking system. Taking into account the fact of quantization according to the level of signals for measuring the angles of mismatch of each of the channels, it is justified to use not one, but two different structures in the second auto-tracking mode. Using mathematical modeling, the expediency of increasing the number of two-channel structures from two to three, used in a single auto-tracking process according to th

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20

Huang, Kuan-Ying, Jyh-Ching Juang, Yung-Fu Tsai, and Chen-Tsung Lin. "Efficient FPGA Implementation of a Dual-Frequency GNSS Receiver with Robust Inter-Frequency Aiding." Sensors 21, no. 14 (July 6, 2021): 4634. http://dx.doi.org/10.3390/s21144634.

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Multiple frequency global navigation satellite system (GNSS) has become more complex due to the existence of extra channels. Typically, auxiliary methods are used to synchronize the second signals at other bands by aiding the acquired channel parameters. However, there are critical limitations because the reception of GNSS signals is subject to uncertainties due to noise carrier injection or circuit interference. The relationship between the two Doppler frequencies can be affected by uncertainties. Therefore, we aimed to implement an efficient dual-frequency field-programmable gate array (FPGA

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21

Tian, Feng, Yang Bo Huang, Bo Xu, and Gang Ou. "An Optimized Low-Power-Consumption Tracking Algorithm Based on Navigation Message Structure for Weak Signals." Applied Mechanics and Materials 733 (February 2015): 854–59. http://dx.doi.org/10.4028/www.scientific.net/amm.733.854.

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In order to reduce the power consumption of handset GNSS receivers, we present a novel algorithm that tracks signals at fixed positions of the navigation message in an intermittent mode. The tracking channels only run during the beginning part of the message frame. In the rest they remain in idle state, to reduce power consumption of the channel. The beginning position of each message frame can be estimated accurately, and the beginning messages are constant or can be estimated, thus the coherent integration time can exceed one navigation bit, which can improve the Doppler frequency estimated

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22

Fiaz, Mustansar, Arif Mahmood, and Soon Ki Jung. "Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking." Sensors 20, no. 14 (July 20, 2020): 4021. http://dx.doi.org/10.3390/s20144021.

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We propose to improve the visual object tracking by introducing a soft mask based low-level feature fusion technique. The proposed technique is further strengthened by integrating channel and spatial attention mechanisms. The proposed approach is integrated within a Siamese framework to demonstrate its effectiveness for visual object tracking. The proposed soft mask is used to give more importance to the target regions as compared to the other regions to enable effective target feature representation and to increase discriminative power. The low-level feature fusion improves the tracker robust

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23

Wang, Yu, Zhutian Yang, Wei Yang, and Jiamin Yang. "A Novel Target Tracking Scheme Based on Attention Mechanism in Complex Scenes." Electronics 11, no. 19 (September 29, 2022): 3125. http://dx.doi.org/10.3390/electronics11193125.

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In recent years, target tracking algorithms based on deep learning have realized significant progress, especially the Siamese neural network structure, which has a simple structure and excellent scalability. Although these methods provide excellent generalization capabilities, they fail to perform the task of learning target information discrimination smoothly due to being affected by distractors such as background clutter, occlusion, and target size. To solve this problem, in this paper we propose a newly improved Siamese network target tracking algorithm based on an attention mechanism. We i

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24

Mei, Yixin, Fan Li, Lijun He, and Liejun Wang. "Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System." Sensors 18, no. 9 (August 30, 2018): 2858. http://dx.doi.org/10.3390/s18092858.

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As an emerging type of Internet of Things (IoT), multimedia IoT (MIoT) has been widely used in the domains of healthcare, smart buildings/homes, transportation and surveillance. In the mobile surveillance system for vehicle tracking, multiple mobile camera nodes capture and upload videos to a cloud server to track the target. Due to the random distribution and mobility of camera nodes, wireless networks are chosen for video transmission. However, the tracking precision can be decreased because of degradation of video quality caused by limited wireless transmission resources and transmission er

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25

Fiaz, Mustansar, Arif Mahmood, Ki Yeol Baek, Sehar Shahzad Farooq, and Soon Ki Jung. "Improving Object Tracking by Added Noise and Channel Attention." Sensors 20, no. 13 (July 6, 2020): 3780. http://dx.doi.org/10.3390/s20133780.

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CNN-based trackers, especially those based on Siamese networks, have recently attracted considerable attention because of their relatively good performance and low computational cost. For many Siamese trackers, learning a generic object model from a large-scale dataset is still a challenging task. In the current study, we introduce input noise as regularization in the training data to improve generalization of the learned model. We propose an Input-Regularized Channel Attentional Siamese (IRCA-Siam) tracker which exhibits improved generalization compared to the current state-of-the-art tracker

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26

Xu, Yue, Hang Yin, and Yuanming Zhao. "Research on Multi-Channel Information Tracking Method." Academic Journal of Science and Technology 2, no. 2 (August 17, 2022): 149–53. http://dx.doi.org/10.54097/ajst.v2i2.1304.

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This project provides a trajectory tracking method, device and computer storage medium, including associating the bottom database features of each target object with at least one trajectory feature to construct the identity association information of each target object; According to at least one track feature of each target object, each detection feature obtained from different target videos is identified, and the target object corresponding to each detection feature is determined; According to the identity association information of each target object and the target object of each detection f

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27

Ragab, Ahmed, Yang Liu, Kangmin Hu, Patrick Chiang, and Samuel Palermo. "Receiver Jitter Tracking Characteristics in High-Speed Source Synchronous Links." Journal of Electrical and Computer Engineering 2011 (2011): 1–15. http://dx.doi.org/10.1155/2011/982314.

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High-speed links which employ source synchronous clocking architectures have the ability to track correlated jitter between clock and data channels up to high frequencies. However, system timing margins are degraded by channel skew between clock and data signals and high-frequency loss. This paper describes how these key channel effects impact the jitter performance and influence the clocking architecture of high-speed source synchronous links. Tradeoffs in complexity and jitter tracking performance of common per-channel de-skew circuits are discussed, along with how band-pass filtering can be

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28

Chen, Jia, Yibo Ai, Yuhan Qian, and Weidong Zhang. "A novel Siamese Attention Network for visual object tracking of autonomous vehicles." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, no. 10-11 (March 29, 2021): 2764–75. http://dx.doi.org/10.1177/09544070211006520.

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In the environment perception stage of autonomous driving, vehicles need to track its surrounding objects quickly and accurately to avoid dangerous behaviors. Therefore, visual object tracking has important practical application value in autonomous driving system. However, the performance of most hierarchical convolutional feature trackers are limited by ignoring the complex environment of autonomous driving. In this paper, a novel Siamese Attention Network to explore the rich spatial and channel information of objects was proposed. Because of the lack of important information between the chan

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29

Xu, Tianyang, Zhenhua Feng, Xiao-Jun Wu, and Josef Kittler. "Adaptive Channel Selection for Robust Visual Object Tracking with Discriminative Correlation Filters." International Journal of Computer Vision 129, no. 5 (February 4, 2021): 1359–75. http://dx.doi.org/10.1007/s11263-021-01435-1.

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AbstractDiscriminative Correlation Filters (DCF) have been shown to achieve impressive performance in visual object tracking. However, existing DCF-based trackers rely heavily on learning regularised appearance models from invariant image feature representations. To further improve the performance of DCF in accuracy and provide a parsimonious model from the attribute perspective, we propose to gauge the relevance of multi-channel features for the purpose of channel selection. This is achieved by assessing the information conveyed by the features of each channel as a group, using an adaptive gr

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30

JEONG, Kyowon, and Jungwoo LEE. "Channel Parameter Tracking for Adaptive MMSE Channel Estimation in OFDM Systems." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E95.A, no. 8 (2012): 1439–43. http://dx.doi.org/10.1587/transfun.e95.a.1439.

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Muradoglu, Metin, and Seckin Gokaltun. "Implicit Multigrid Computations of Buoyant Drops Through Sinusoidal Constrictions." Journal of Applied Mechanics 71, no. 6 (November 1, 2004): 857–65. http://dx.doi.org/10.1115/1.1795222.

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Two-dimensional computations of dispersed multiphase flows involving complex geometries are presented. The numerical algorithm is based on the front-tracking method in which one set of governing equations is written for the whole computational domain and different phases are treated as a single fluid with variable material properties. The front-tracking methodology is combined with a newly developed finite volume solver based on dual time-stepping, diagonalized alternating direction implicit multigrid method. The method is first validated for a freely rising drop in a straight channel, and it

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32

Jung, Ilchae, Kihyun You, Hyeonwoo Noh, Minsu Cho, and Bohyung Han. "Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11205–12. http://dx.doi.org/10.1609/aaai.v34i07.6779.

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We propose a novel meta-learning framework for real-time object tracking with efficient model adaptation and channel pruning. Given an object tracker, our framework learns to fine-tune its model parameters in only a few gradient-descent iterations during tracking while pruning its network channels using the target ground-truth at the first frame. Such a learning problem is formulated as a meta-learning task, where a meta-tracker is trained by updating its meta-parameters for initial weights, learning rates, and pruning masks through carefully designed tracking simulations. The integrated meta-

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33

Zhang, Runqing, Chunxiao Fan, and Yue Ming. "Learning Enhanced Feature Responses for Visual Object Tracking." Computational Intelligence and Neuroscience 2022 (February 8, 2022): 1–15. http://dx.doi.org/10.1155/2022/1241687.

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Visual object tracking is an important topic in computer vision, which has successfully utilized pretrained convolutional neural networks, such as VGG and ResNet. However, the features extracted by these pretrained models are high dimensional, and the redundant feature channels reduce target localization and scale estimation precision, leading to tracking drifting. In this paper, a novel visual object tracking method, called learning enhanced feature responses tracking (LEFRT), is proposed, which adopts the target-specific features to enhance target localization and scale estimation responses.

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34

Kulmer, Josef, Erik Leitinger, Stefan Grebien, and Klaus Witrisal. "Anchorless Cooperative Tracking Using Multipath Channel Information." IEEE Transactions on Wireless Communications 17, no. 4 (April 2018): 2262–75. http://dx.doi.org/10.1109/twc.2018.2790936.

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35

Anderson, Peter A. V. "Tracking and capitalizing on ion channel evolution." Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology 126 (July 2000): S4. http://dx.doi.org/10.1016/s0305-0491(00)80007-3.

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Arikan, F., and O. Arikan. "Adaptive tracking of narrowband HF channel response." Radio Science 38, no. 6 (December 2003): n/a. http://dx.doi.org/10.1029/2003rs002879.

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Srinivasan, S., K. Janse, M. Nilsson, and W. Bastiaan Kleijn. "Two-channel speech denoising through minimum tracking." Electronics Letters 46, no. 2 (2010): 177. http://dx.doi.org/10.1049/el.2010.2765.

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Dall'Anese, Emiliano, Seung-Jun Kim, and Georgios B. Giannakis. "Channel Gain Map Tracking via Distributed Kriging." IEEE Transactions on Vehicular Technology 60, no. 3 (March 2011): 1205–11. http://dx.doi.org/10.1109/tvt.2011.2113195.

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Beinschob, P., M. Lieberei, and U. Zölzer. "Improving MIMO-OFDM decision-directed channel estimation by utilizing error-correcting codes." Advances in Radio Science 7 (May 18, 2009): 83–88. http://dx.doi.org/10.5194/ars-7-83-2009.

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Abstract. In this paper a decision-directed Multiple-Input Multiple-Output (MIMO) channel tracking algorithm is enhanced to raise the channel estimate accuracy. While DDCE is prone to error propagation the enhancement employs channel decoding in the tracking process. Therefore, a quantized block of symbols is checked on consistency via the channel decoder, possibly corrected and then used. This yields a more robust tracking of the channel in terms of bit error rate and improves the channel estimate under certain conditions. Equalization is performed to prove the feasibility of the obtained cha

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Luo, Kaihua, Xiaoping Zhou, Bin Wang, Jifeng Huang, and Haichao Liu. "Sparse Bayes Tensor and DOA Tracking Inspired Channel Estimation for V2X Millimeter Wave Massive MIMO System." Sensors 21, no. 12 (June 10, 2021): 4021. http://dx.doi.org/10.3390/s21124021.

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Efficient vehicle-to-everything (V2X) communications improve traffic safety, enable autonomous driving, and help to reduce environmental impacts. To achieve these objectives, accurate channel estimation in highly mobile scenarios becomes necessary. However, in the V2X millimeter-wave massive MIMO system, the high mobility of vehicles leads to the rapid time-varying of the wireless channel and results in the existing static channel estimation algorithms no longer applicable. In this paper, we propose a sparse Bayes tensor and DOA tracking inspired channel estimation for V2X millimeter wave mass

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Huang, S. H., Jenho Tsao, T. C. Yang, and Sheng-Wen Cheng. "Model-Based Signal Subspace Channel Tracking for Correlated Underwater Acoustic Communication Channels." IEEE Journal of Oceanic Engineering 39, no. 2 (April 2014): 343–56. http://dx.doi.org/10.1109/joe.2013.2251808.

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Bai, Hui, Hong Yu Wang, and Shi Huang Shao. "Position Tracking and Attitude Stable Control for an Unmanned Quadrotor Vehicle." Advanced Materials Research 645 (January 2013): 492–96. http://dx.doi.org/10.4028/www.scientific.net/amr.645.492.

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A simplified dynamic model of the quadrotor is established. A multi-channel control scheme based on PID and dynamic inversion is proposed. Four channels are designed to achieve the position tracking and attitude stabilization of the quadrotor. A simulation shows the validity and good features of the control strategy.

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Jwo, Dah Jing, and Meng Hsien Hsieh. "Robustness Enhancement of GPS Vector Tracking Loop Using the Fault Detection and Exclusion Algorithm." Applied Mechanics and Materials 764-765 (May 2015): 570–74. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.570.

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Although the vector tracking loop architectures provide several important advantages, they suffer some fundamental drawbacks. The most significant drawback is that failure of tracking in one channel may affect the entire system and lead to loss of lock on all satellites. The other drawback is that errors in the navigation solutions may degrade the accuracy of the tracking results. For robustness improvement of the vector tracking loop, the EKF based receiver autonomous integrity monitoring (RAIM) and fault detection and exclusion (FDE) algorithms are developed to prevent the error of one chann

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Volavy, Jaroslav, Árpád Farkas, Frantisek Lizal, Jakub Elcner, and Miroslav Jicha. "Lagrangian tracking of fibres in a channel flow." EPJ Web of Conferences 213 (2019): 02098. http://dx.doi.org/10.1051/epjconf/201921302098.

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Tracking of fibres in a fluid flow is much more complicated than tracking of spherical particles. In fibre motion, the orientation of fibre against the flow direction plays a very important role. In addition to the standard equation of motion, additional equations for orientation and angular velocity must be solved during the tracking of fibres. A mathematical model describing fibre motion is introduced in this work. Capabilities of this model are demonstrated through simulations of fibre transportation by air in a channel flow. The importance of the terms in the equation of angular velocity a

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Yin, Rui, Xin Zhou, Wei Qi, Celimuge Wu, and Yunlong Cai. "Grouping-Based Channel Estimation and Tracking for Millimeter Wave Massive MIMO Systems." Wireless Communications and Mobile Computing 2021 (July 13, 2021): 1–14. http://dx.doi.org/10.1155/2021/2922359.

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Although the millimeter wave (mmWave) massive multiple-input and multiple-output (MIMO) system can potentially boost the network capacity for future communications, the pilot overhead of the system in practice will greatly increase, which causes a significant decrease in system performance. In this paper, we propose a novel grouping-based channel estimation and tracking approach to reduce the pilot overhead and computational complexity while improving the estimation accuracy. Specifically, we design a low-complexity iterative channel estimation and tracking algorithm by fully exploiting the sp

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Yang, Chang-Yi, and Bor-Sen Chen. "Robust MC-CDMA Channel Tracking for Fast Time-Varying Multipath Fading Channel." IEEE Transactions on Vehicular Technology 59, no. 9 (November 2010): 4658–64. http://dx.doi.org/10.1109/tvt.2010.2079962.

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Brachet, Anna, Christophe Leterrier, Marie Irondelle, Marie-Pierre Fache, Victor Racine, Jean-Baptiste Sibarita, Daniel Choquet, and Bénédicte Dargent. "Ankyrin G restricts ion channel diffusion at the axonal initial segment before the establishment of the diffusion barrier." Journal of Cell Biology 191, no. 2 (October 18, 2010): 383–95. http://dx.doi.org/10.1083/jcb.201003042.

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In mammalian neurons, the precise accumulation of sodium channels at the axonal initial segment (AIS) ensures action potential initiation. This accumulation precedes the immobilization of membrane proteins and lipids by a diffusion barrier at the AIS. Using single-particle tracking, we measured the mobility of a chimeric ion channel bearing the ankyrin-binding motif of the Nav1.2 sodium channel. We found that ankyrin G (ankG) limits membrane diffusion of ion channels when coexpressed in neuroblastoma cells. Site-directed mutants with decreased affinity for ankG exhibit increased diffusion spee

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Bhatia, Himanshu. "Chat Tracking and Monitoring System." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 625–27. http://dx.doi.org/10.22214/ijraset.2021.38040.

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Abstract: With the expanding utilization of instant chat messengers to share data, Suspicious exercises have additionally expanded. There are numerous sources to share the data however moment talk couriers and informal communication sites are fast, simply intended to share anything. In some cases, even new stories are at first separated via online media locales and further on talk couriers rather than any news channel and paper and so forth. Because of these innovation progressions, a few individuals are using these applications inappropriately to share suspicious messages and make arrangement

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Ali, H. "CP-Based SBHT-RLS Algorithms for Tracking Channel Estimates in Multicarrier Modulation Systems." Journal of Electrical and Computer Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/452806.

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Cyclic prefix (CP) in multicarrier modulation systems has been considered as an alternative to the training sequences to track channel estimates. In this paper, two new algorithms are developed that exploit CP from their data detection part and employ systolic block Householder transformation recursive least squares (SBHT-RLS) algorithms for channel tracking in multicarrier systems. The new methods are compared with the existing CP exploiting correlation matrix based block RLS (CMB-RLS) channel tracking approach to outline their relative advantages. Aspects of computational complexity and para

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Oleárová, Mária, Radovan Bačík, and Richard Fedorko. "Generational Differences of Consumers: A Study of Preferred Purchasing Channels." 12th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 12, no. 1 (October 8, 2021): 132. http://dx.doi.org/10.35609/gcbssproceeding.2021.12(132).

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The development of the Internet and current technologies have contributed to significant progress in the consumer purchasing process. Nowadays, the decision is much easier and more intuitive. Companies are focusing on tracking the shopping path of customers who are exposed meet companies through many different channels and contact points, both online and offline (Baxendale et al. 2015). This means that consumers are not limited to online or offline channels, they obtain information from both sources. In the age of the Internet and the rapid development of technology, the purchasing process is

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