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Mutual Information and Minimum Mean-square Error in Gaussian Channels [PDF]
IEEE Transactions on Information Theory, 2004 This paper deals with arbitrarily distributed finite-power input signals observed through an additive Gaussian noise channel. It shows a new formula that connects the input-output mutual information and the minimum mean-square error (MMSE) achievable by ...
Guo, Dongning +2 more
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Well-Conditioned Linear Minimum Mean Square Error Estimation [PDF]
IEEE Control Systems Letters, 2022 Linear minimum mean square error (LMMSE) estimation is often ill-conditioned, suggesting that unconstrained minimization of the mean square error is an inadequate approach to filter design.
Edwin K. P. Chong
semanticscholar +3 more sources
IEEE Access, 2020 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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Augmented GNSS Differential Corrections Minimum Mean Square Error Estimation Sensitivity to Spatial Correlation Modeling Errors [PDF]
Sensors, 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
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Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
IEEE Access, 2018 The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when the ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
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Bayesian minimum mean square error for transmissivity sensing
Physical 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
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Minimum Mean-Square Error Single-Channel Signal Estimation [PDF]
, 2008 This topic of this thesis is MMSE signal estimation for hearing aids when only one microphone is available. The research is relevant for noise reduction systems in hearing aids. To fully benefit from the amplification provided by a hearing aid, noise reduction functionality is important as hearing-impaired persons in some noisy situations need a higher
Beierholm, Thomas
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Sensors, 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
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IET 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
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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 +2 more sources