Results 241 to 250 of about 982,283 (286)

Minimum mean square error vector precoding

European Transactions on Telecommunications, 2006
AbstractWe derive theminimum mean square error(MMSE) solution to vector precoding for frequency flat multiuser scenarios with a centralised multi‐antenna transmitter. The receivers employ a modulo operation, giving the transmitter the additional degree of freedom to choose aperturbation vector.
David A. Schmidt, Michael Joham, Wolfgang Utschick   +2 more
openaire   +1 more source

On prediction and mean squared error

Canadian Journal of Statistics, 1992
AbstractPractical questions motivate the search for predictors either of an as yet unobserved random vector, or of a random function of a parameter. An extension of the classical UMVUE theory is presented to cover such situations. In includes a Rao‐Blackwell‐type theorem, a Cramer‐Rao‐type inequality, and necessary and sufficient conditions for a ...
openaire   +1 more source

The Synthetic Mean Square Error Control Chart

Communications in Statistics - Simulation and Computation, 2013
A synthetic mean square error (MSE) control chart is presented in this study for monitoring the changes in the mean and standard deviation of a normally distributed process. The synthetic MSE control chart is a combination of the standard MSE control chart and the conforming run length (CRL) control chart.
Ming Ha Lee, Michael B. C. Khoo
openaire   +1 more source

An Approximation of FOCUSS Mean Squared Error

2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2023
Bamrung Tausiesakul, Krissada Asavaskulkiet   +1 more
openaire   +1 more source

Mean Square Error

2021
openaire   +1 more source

On minimum mean square error speech enhancement

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
Motivation for using minimum mean square error (MMSE) estimation in noisy speech enhancement problems is given. An MMSE estimator which is based on hidden Markov modeling of the clean signal as well as the noise process is systematically developed. The MMSE estimator is tested and compared with the spectral subtraction estimator in vector quantization ...
openaire   +1 more source

Mean-Squared Error

2023
openaire   +1 more source

Mean Squared Error

2011
openaire   +2 more sources

The Asymptotic Mean Squared Error of Multistep Prediction from the Regression Model with Autoregressive Errors

Journal of the American Statistical Association, 1979
Richard T Baillie
exaly   +2 more sources

Simulation and Extension of a Minimum Mean Squared Error Estimator in Comparison with Stein's

Technometrics, 1976
Hrishikesh D Vinod
exaly   +2 more sources