Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
This estimator makes use of information provided by the excluded instruments (median age, percentage of males, and classification of patients by number of previous treatments) to increase efficiency in the presence of heteroskedasticity of unknown form.
Similar(58)
This estimator made the model's asymmetric treatment of light and dark signals more nuanced than permitted by the non-multiplicative nonlinearity model, and it also incorporated motion signals that combine multiple temporal signals from the same point in space.
Utilization of the time-varying weights in the estimator makes the blind noise-suppression from non-stationary signals without correlation, conceivable.
The channel estimator makes an estimate of the IBI using subsequent pilot blocks in each recursion that is removed from the received signal model before a recursion of the channel estimation update is made.
The channel estimator makes an initial estimation of the channel coefficients in the presence of IBI due to insufficient CP.
The semiparametric KS estimator makes no distributional assumptions, but it assumes a linear index function to avoid the curse of dimensionality.
Apart from supporting the data partitioning mechanism, the response time estimator makes it possible for the adaptive energy-conserving mechanism to dynamically adjust voltage supply levels while guaranteeing desired response times.
Many of these estimators make assumptions on the shape of the signal distribution, assume narrow spatial spreads, and eigen-decompose the full-rank covariance matrix into a pseudo-signal subspace and a pseudo-noise subspace.
The fast convergence and high breakdown point of HBM make this estimator an outstanding choice for segmentation of multi-structured data.
We make use of this estimator to find the coarse timing of the OFDM symbol and FFO for module-I algorithms.
Control inputs are calculated from reliably on-line measurable variables by estimators making full use of the dissipation equation.
Write better and faster with AI suggestions while staying true to your unique style.
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