Results 51 to 60 of about 7,275,625 (295)

Image enhancement via MMSE estimation of Gaussian scale mixture with Maxwell density in AWGN [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2016
In optical techniques, noise signal is a classical problem in medical image processing. Recently, there has been considerable interest in using the wavelet transform with Bayesian estimation as a powerful tool for recovering image from noisy data.
Pichid Kittisuwan
doaj   +1 more source

Minimum Mean Square Error Estimators for the Exponential SSALT Model

open access: yesInformatica, 2016
Summary: This paper presents minimum mean square error (MMSE) estimators for mean life and failure rate of Exponential distribution model based on failure censored step-stress accelerated life-testing (SSALT) data. The MMSE estimators are drived by revising the corresponding unbiased estimators in terms of mean square error (MSE).
Gang Kou   +4 more
openaire   +3 more sources

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

open access: yesFEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty   +13 more
wiley   +1 more source

Iterative Soft Interference Cancellation Aided Minimum Bit Error Rate Uplink Receiver Beamforming

open access: yes, 2006
Iterative multiuser receivers constitute an effective solution for transmission over Multiple Access Interference (MAI) infested channels, when invoking a combined multiuser detector and channel decoder.
Tan, S., Xu, L., Hanzo, L., Chen, S.
core   +1 more source

New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods.

open access: yesPLoS ONE
This research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong   +1 more
doaj   +1 more source

Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS

open access: yesIEEE Access
As the scale of power dispatching communication system expands day by day, it becomes more and more difficult for operators to deal with fault information.
Lianrong Pan   +4 more
doaj   +1 more source

On regret of parametric mismatch in minimum mean square error estimation [PDF]

open access: yes2010 IEEE International Symposium on Information Theory, 2010
This paper studies the effect of parametric mismatch in minimum mean square error (MMSE) estimation. In particular, we consider the problem of estimating the input signal from the output of an additive white Gaussian channel whose gain is fixed, but unknown. The input distribution is known, and the estimation process consists of two algorithms.
openaire   +3 more sources

Heterotropic regulation and negative homotropic cooperativity

open access: yesFEBS Open Bio, EarlyView.
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea   +5 more
wiley   +1 more source

Adaptive minimum bit-error-rate filtering

open access: yes, 2004
Adaptive filtering has traditionally been developed based on the minimum mean square error (MMSE) principle and has found ever-increasing applications in communications. The paper develops adaptive filtering based on an alternative minimum bit error rate
Chen, S.
core   +1 more source

Nonlinear Distortion-Aware Channel Estimation Strategies for IRS-Aided MIMO Systems

open access: yesIEEE Access
The article addresses the challenges posed by nonlinear distortions in Intelligent Reflecting Surface (IRS)-assisted Multiple-Input Multiple-Output (MIMO) systems, which are often overlooked in conventional channel estimation strategies.
D. L. Sharini   +3 more
doaj   +1 more source

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