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The additive noise is modeled as a complex Gaussian zero-mean spatially and temporally white process with unit variance in each sensor.
A simplified adaptive scheme is suggested for the estimation of the state vector of linear systems driven by white process noise that is added to an unknown deterministic signal.
Let be a zero-mean white process with variance, then the process can be assumed stationary as discussed in [5], and so will approximately have zero mean and variance: (6).
The channel model that was used in [48, 49] is much worse than what happens in practice since it was proposed that the stochastic process of the power change for each user is a white process; the received value of the power for each user is independent of its value in any other time index.
If the vector x k = [x k,x k−1,…x k−M−P+1] T exhibits a shift property, so does the corresponding output u k = [ u k,u k−1,…s u k−M+1] T. The variable x k will be denoted for describing a white process throughout the paper while u k will denote the corresponding filtered process throughout this paper.
We used the simplest white process for reverse-correlation, a Bernoulli process where we assigned −1 for lights OFF and +1 for lights ON, and calculated the mean stimulus history that preceded each run-to-turn or turn-to-run transition.
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In the beginning, Ms. White processed all of her sales by hand.
COMMODITY PRICE INDEX The premium of white (processed) sugar over raw sugar prices has been below $40 a tonne since December, its narrowest margin since April 1993, and only half the cost of refining it.
Experiment 1: In the first set of experiments, the white processes with properties in Table 2 were the driving source.
Notice that we are implicitly assuming white processes due to the diagonal structure of Σ x,k.
While results were previously only known for a small number of statistics, this contribution deals with the large class of linearly filtered white processes with arbitrary statistics.
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