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Subsequently, a new sensitivity-based linear filter design method is formulated to minimize a weighted sum of the detection errors subject to upper bounds on the system sensitivities.
We establish the asymptotic validity of three easy-to-implement alternative bootstrap proposals for stationary autoregressive processes with martingale difference errors subject to possible conditional heteroskedasticity of unknown form.
These designs minimize the mean-squared errors if linear regression models are correct with uncorrelated errors, subject to two robust constraints which control the change of the bias and the change of variance under model departures.
Fortran 77 software is given for least squares smoothing to data values contaminated by random errors subject to one sign change in the second divided differences of the smoothed values, where the location of the sign change is also unknown of the optimization problem.
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To prevent systematic errors, subjects were randomly allocated to use the right or the left hand first.
To reduce errors, subjects were not allowed to eat or drink anything else than water for one hour before the testing session started.
Let us find which minimizes the channel estimation error subject to a transmitted power constraint.
We now design a precoding matrix to improve the probability of error subject to the constraint of transmission powers.
Then, two optimization problems are solved by optimizing the constraint ellipsoid of the estimation error subject to the underlying protocol.
For multi-way relaying, the minimisation of mean square error subject to the zero forcing constraint can be written as (22).
The problem of optimally designing the training data set, so as to minimize the mean squared channel estimation error subject to a total transmit power constraint, is then addressed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com