An Improved GOMP Sparse Channel Estimation for Vehicle-to-Vehicle Communications by Xin Chen, Xudong Zhang, Yaolin Zhu, Ruiqing Ma

“…The iGOMP algorithm transforms the channel estimation problem into a sparse signal recovery problem and replaces the classical inner product criterion with the Dice atom matching criterion. …”
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Estimation Vehicular Waiting Time at Traffic Build-Up Queues by Mohamed Maher Ata, Mohamed El-Darieby, Baher Abdulhai, Emad Felemban, Saleh Basalamah, Basim Zafar

“…However, improving the reliability of delay estimates and real-time dissemination of information remains a challenge. …”
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Apple Pose Estimation Based on SCH-YOLO11s Segmentation by Jinxing Niu, Mingbo Bi, Qingyuan Yu

“…The algorithm’s runtime per image is approximately 0.08 s. …”
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Multiscale admission control algorithm for statistical QoS guarantee by Yan-ping CHEN, Hui-qiang WANG, Guang-sheng FENG, Yu-long GAO

“…Statistical properties of the traffic were calculated to estimate the burst level through online measurement for selecting proper traffic model.In order to guarantee traffic QoS,the effective envelope of self-similarity and multiracial traffic was derived using the transformation theory between the effective bandwidth and effective envelope.Then,QoS parameters were obtained using network calculus to perform admission decision;furthermore appropriate admission time was chosen to reduce the proposed algorithm’s impact on QoS performance.The simulations prove that the traffic model can be selected accurately,statistical delay can be ensured and utilization efficiency of network is improved.…”
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Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes by Liu X, Zhang J

“…Future research should focus on refining CGM algorithms, exploring personalized intervention strategies, and leveraging wearable technology and artificial intelligence advancements to optimize glycemic control and patient well-being.Keywords: continuous glucose monitoring, prediabetes, glycemic control, diabetes prevention strategies, transformative approach…”
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GaLAM: Two-Stage Outlier Detection Algorithm by Xiaojun Lu, Zhe Yan, Ziyun Fan

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A Nonlinear Compensation Method for Enhancing the Detection Accuracy of Weak Targets in FMCW Radar by Bo Wang, Tao Lai, Qingsong Wang, Haifeng Huang

“…Parameter estimation is refined using the Adaptive Moment Estimation (ADAM) algorithm and Limited-Memory Broyden–Fletcher–Goldfarb–Shanno (LBFGS) optimization. …”
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Antenna Array Calibration for a General Linear Transformation of the Array Manifold by Benjamin Friedlander

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Research on the Integration of Sensing and Communication Based on Fractional-Order Fourier Transform by Mingyan Qi, Yuelong Su, Zhaoyi Wang, Kun Lu

“…First, the fractional-order Fourier transform (FRFT) is introduced, and the golden section method, parabolic interpolation, and Brent method are applied to search for the optimal fractional-order domain to accurately estimate the parameters of the linear frequency modulation (LFM) signal. …”
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Fast Method for DOA Estimation with Circular and Noncircular Signals Mixed Together by Yaoping Zeng, Yixin Yang, Guangyue Lu, Qiongdan Huang

“…Most of the existing algorithms to estimate the direction of arrival (DOA) of signals deal with the situation that all signals are circular. …”
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Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry by Gabriella M. Weiss, Gabriella M. Weiss, Gabriella M. Weiss, Silke Asche, Hannah McLain, Angela H. Chung, Angela H. Chung, Angela H. Chung, S. Hessam M. Mehr, Leroy Cronin, Heather V. Graham

“…However, the recursive algorithm reports MA estimates that are more consistent across sample types, concentrations, and fragmentation energies. …”
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Estimation of S-parameters and dielectric permittivity of quartz ceramics samples in millimeter waveband by N. A. Pevneva, D. A. Kondrashov, A. L. Gurskii, A. V. Gusinsky

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Bayesian Inertia Estimation via Parallel MCMC Hammer in Power Systems by Weidong Zhong, Chun Li, Minghua Chu, Yuanhong Che, Shuyang Zhou, Zhi Wu, Kai Liu

“…The stability of modern power systems has become critically dependent on precise inertia estimation of synchronous generators, particularly as renewable energy integration fundamentally transforms grid dynamics. …”
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Nonlinear cancellation algorithm for cooperative jamming against frequency offset by WEN Rong, HE Yimin, ZHANG Yidan, ZHAO Hongzhi, TANG Youxi

“…To solve the problem of deteriorating nonlinear cancellation performance for cooperative jamming (CJ) caused by the frequency offset between the cooperative jammer and the authorized receiver, a nonlinear cancellation algorithm for CJ against frequency offset based on joint coefficient estimation of multiple adaptive filters was proposed. …”
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CSI feedback algorithm for massive MIMO systems based on SFNet by ZHANG Yun, HUANG Jingwei, XU Sunwu, GAO Gui, YU Shujuan, ZHAO Shengmei

“…The experimental results show that the proposed algorithm achieves advanced estimation performance with significantly low computational complexity. …”
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OPTIMAL ESTIMATION OF RANDOM PROCESSES ON THE CRITERION OF MAXIMUM A POSTERIORI PROBABILITY by A. A. Lobaty, Y. F. Yacina, N. N. Arefiev

“…Unlike common approaches based on consideration as a criterion for optimization of the minimum mean square error of estimation, in this case, the optimization criterion is considered the maximum a posteriori probability density of the process being evaluated.The a priori probability density estimated Gaussian process originally considered a differentiable function that allows us to expand it in a Taylor series without use of intermediate transformations characteristic functions and harmonic decomposition. …”
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A New Alpha Power Transformation of Logistic Distribution With Its Properties and Applications by Kemal Nure Kawo, Ayele Taye Goshu, Bereket Philipos Kindo

“…Parameter estimation is performed via the maximum likelihood estimation method. …”
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Holistic Pose Estimation and Dynamic Motion Analysis for Telerehabilitation of Physically Disabled Individuals by Aleena Kamal, Shaheryar Najam, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Jeongmin Park

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Research on Target Tracking Algorithm of Micro-UAV Based on Monocular Vision by Yingbin Feng, Dian Wang, Kun Yang

“…In order to verify the feasibility of the algorithm, target size estimation and target tracking algorithms are carried out. …”
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Time-varying channel estimation in reconfigurable intelligent surface assisted communication system by Kai SHAO, Ben LU, Guangyu WANG

“…Aiming at the key problems need to be solved, such as cascade channel sparse representation, time-varying channel parameter tracking and signal reconstruction, for time-varying cascade channels estimation of reconfigurable intelligent surface (RIS) assisted communication system, a Khatri-Rao and hierarchical Bayesian Kalman filter (KR-HBKF) algorithm was proposed.Firstly, the Khatri-Rao product and Kronecker product transformations were used to obtain the sparse representation of RIS cascaded channels based on the sparse characteristics of channels, thus the RIS cascaded channel estimation problem was transformed into a low-dimensional sparse signal recovery problem.Then, according to the state evolution model of RIS cascaded channel, the time correlation parameter was introduced into the prediction model of HBKF algorithm, and the improved HBKF was applied to solve the problem of time-varying channel parameter tracking and signal reconstruction for completing the time-varying cascaded channels estimation.The sparsity and time correlation of the channel were comprehensively considered in the KR-HBKF algorithm, thus better estimation accuracy could be obtained with small pilot overhead.Compared with the traditional compressed sensing algorithm, the simulation results show that the proposed algorithm has about 5 dB estimated performance improvement, and better robustness performance under different time-varying channel conditions.…”
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