Sentence examples for bound on the response from inspiring English sources

Rohwer shows that the response of the cascade filter U K L K is a pointwise lower bound on the response of the standard median filter with half-width K, and that the response of the cascade filter L K U K is a pointwise upper bound ([12] p. 23): U_{K} L_{K} { x_{k} } leq M_{K} { x_{k} } leq L_{K} U_{K} { x_{k} }. (15).

We performed our dose response analyses for each LBD construct by fitting three-parameter logistic curves of the form f (x ) = β 1 + 1 − β 1 1 + (x / β 2 ) β 3 to our data where f(x) is the response to dose x, β1 is the estimated upper bound on the response, β2 is the estimated EC50, and β3 is the estimated "slope" or shape parameter.

K-ras cycles between a guanosine diphosphate (GDP) bound ("off" state) to guanosine triphosphate (GTP) bound ("on" state) in response to receptor activation.

The behavioral response as estimated above is likely an upper bound on the behavioral response because our matching procedure assumes the unobservable quality of minority students accepted to at least one UC campus is the same in the pre and post-Prop 209 periods.

With the Dale and Krueger controls, the upper bound on the behavioral response ranges from 2.2 percentage points to 2.9 percentage points, or between 50% and 67% of the total.

Simulators can be used to establish a lower bound on the worst-case response time.

(For example, a 95% statistical upper bound on the probability of a response in 100 treated animals in which no response occurs is 1 – 0.05(1/100) = 0.0295).

Turns typically last <4 s, which limits the length of stimulus history that can be used in a linear filter, which thus puts a ∼4-s upper bound on the length of stimulus response that can be predicted.

We consider two approaches: one based on Fisherian statistical testing, and another estimating a bound on the probability of a neural response.

The problem of minimizing the bound on the variance of the steady response of uncertain PWA systems, by means of a hybrid observer controller, is formulated as an optimization problem subject to a number of constraints in the form of matrix inequalities.

The Bayesian approach enables the estimation of a bound on the probability of having a response.