Results 1 to 10 of about 6,870,463 (245)
Scalable kernel-based minimum mean square error estimate for light-field image compression
Light-field imaging can capture both spatial and angular information of a 3D scene and is considered as a prospective acquisition and display solution to supply a more natural and fatigue-free 3D visualization.
Zhixiang You, Ping An, Deyang Liu
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For linear dynamic systems with Gaussian noise, the Kalman filter provides the Minimum Mean-Square Error (MMSE) state estimation by tracking the posterior. Similarly, for systems with Gaussian Mixture (GM) noise distributions, a bank of Kalman filters or
Leila Pishdad, Fabrice Labeau
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Performance analysis of V-BLAST signal detection algorithm in MIMO system
In this paper, the commonly used minimum mean square error algorithm, zero-forcing detection algorithm, nonlinear detection algorithm and orthogonal triangular decomposition detection algorithm in the vertical layered space-time detection algorithm were ...
ZHANG Ming +3 more
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Quantum state tomography (QST) is essential for characterizing unknown quantum states. Several methods of estimating quantum states already exist and can be classified mainly into three broad classes.
Subhadeep Mondal, Amit Kumar Dutta
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Multiple-input Multiple-Output (MIMO) systems require orthogonal frequency division multiplexing to operate efficiently in multipath communication (OFDM).
Dhanasekaran S +5 more
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This work proposes novel techniques toward the design of optimal pilot sequences to perform channel estimation in block transmission systems over wideband frequency selective wireless fading channels.
Manjeer Majumder, Aditya K. Jagannatham
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Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.
Sangyoon Lee, Moon Gi Kang
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In wireless communications, multicarrier direct-sequence code-division multiple access (MC DS-CDMA) constitutes one of the highly flexible multiple access schemes.
Lie-Liang Yang, Li-Chun Wang
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Mean square cross error: performance analysis and applications in non-Gaussian signal processing
Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
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Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system
The two-stage hybrid beamforming architecture can solve the problem of limited number of RF chains effectively.However,it is still difficult to design a hybrid beamforming algorithm with better performance.In order to achieve higher spectral efficiency ...
Min SHEN, Hao XU, Yun HE, Pengguang ZHOU
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