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Augmented GNSS Differential Corrections Minimum Mean Square Error Estimation Sensitivity to Spatial Correlation Modeling Errors [PDF]

open access: yesSensors, 2014
Railway signaling is a safety system that has evolved over the last couple of centuries towards autonomous functionality. Recently, great effort is being devoted in this field, towards the use and exploitation of Global Navigation Satellite System (GNSS)
Nazelie Kassabian   +2 more
doaj   +2 more sources

A Bayesian quantum state tomography along with adaptive frameworks based on linear minimum mean square error criterion [PDF]

open access: goldNew 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   +2 more sources

Poisson-Gaussian Noise Reduction for X-Ray Images Based on Local Linear Minimum Mean Square Error Shrinkage in Nonsubsampled Contourlet Transform Domain [PDF]

open access: goldIEEE Access, 2021
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
doaj   +2 more sources

Bayesian minimum mean square error for transmissivity sensing

open access: yesPhysical Review Research, 2023
We address the problem of estimating the transmissivity of the pure-loss single-mode bosonic channel from the Bayesian point of view, i.e., when a prior probability distribution function (PDF) on the transmissivity is available.
Boyu Zhou   +3 more
doaj   +3 more sources

Multicriteria Learning: Combining Minimum Mean Square Error, Minimum Error Entropy, and Maximum Correntropy in the Presence of Gaussian and Non-Gaussian Noises

open access: goldIET Signal Processing
Understanding natural phenomena relies heavily on learning criteria aimed at minimizing model errors and enhancing fidelity to real-world conditions.
Fatemeh Mohamaddust   +2 more
doaj   +2 more sources

Minimum mean squared error estimation [PDF]

open access: diamondBulletin of the Australian Mathematical Society, 1984
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Victor Charles Drastik
openalex   +3 more sources

Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

open access: yesSensors, 2023
This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference ...
Adriana-Maria Cuc   +2 more
doaj   +1 more source

Low‐complexity channel estimation for time division duplex massive multi‐user multi‐input multi‐output systems

open access: yesIET Communications, 2021
This paper addresses the problem of minimum mean square error channel estimator for time division duplex massive multi‐user multi‐input multi‐output systems. It is noteworthy that, the minimum mean square error has been previously proposed for multi‐cell
Muamer Hawej, Yousef R. Shayan
doaj   +1 more source

Minimum Mean-Squared-Error autocorrelation processing in coprime arrays [PDF]

open access: yesDigital 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   +2 more sources

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