Results 11 to 20 of about 7,275,625 (295)
Minimum mean square error estimation [PDF]
Applications of Mathematics, 1979 In many cases we can consider the regression parameters as realizations of a random variable. In these situations the minimum mean square error estimator seems to be useful and important. The explicit form of this estimator is given in the case that both the covariance matrices of the random parameters and those of the error vector are singular.
Wimmer, Gejza
openaire +4 more sources
Minimum Mean-Squared-Error autocorrelation processing in coprime arrays [PDF]
Digital Signal Processing, 2021 Coprime arrays enable Direction-of-Arrival (DoA) estimation of an increased number of sources. To that end, the receiver estimates the autocorrelation matrix of a larger virtual uniform linear array (coarray), by applying selection or averaging to the physical array's autocorrelation estimates, followed by spatial-smoothing.
Dimitris G. Chachlakis +3 more
openaire +4 more sources
Modeling of Activated Sludge Process Using Multi-Layer Perceptron Neural Networks [PDF]
Nature Environment and Pollution Technology, 2023 Mathematical Modeling of the activated sludge process (ASP) enhances the understanding of the process and improves the quality of the effluent released.
Saurabh Sahadev , G. Madhu and M. Roy Thomas
doaj +1 more source
Performance analysis of V-BLAST signal detection algorithm in MIMO system
上海师范大学学报. 自然科学版, 2021 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
doaj +1 more source
Minimum symbol error rate turbo multiuser beamforming aided QAM receiver [PDF]
, 2008 This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for high-throughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels.
Chen, Sheng, Tan, S, Hanzo, L
core +3 more sources
New Journal of Physics, 2023 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
doaj +1 more source
Adaptive minimum error-rate filtering design: a review
, 2008 Adaptive filtering has been an enabling technology and has found ever-increasing applications in various state-of-the-art communication systems. Traditionally, adaptive filtering has been developed based on the Wiener or minimum mean square error (MMSE ...
Chen, Sheng +3 more
core +2 more sources
LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation
Entropy, 2017 This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Ji She +3 more
doaj +1 more source
Entropy, 2022 Multiple-input Multiple-Output (MIMO) systems require orthogonal frequency division multiplexing to operate efficiently in multipath communication (OFDM).
Dhanasekaran S +5 more
doaj +1 more source
IEEE Access, 2020 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
doaj +1 more source