Sentence examples for measurement design problem from inspiring English sources

Given the budget k (the number of DFT coefficients to be measured), the measurement design problem is to select a subset of k vectors from the projection matrix (varPhi ) so as to maximise the mutual information between the unknown image and measurements, where the mutual information is defined as follows: begin{aligned} I(x_t y_t) = h y_t) - h y_t | x_t).

Two approximation techniques are used in this study to resolve the intractability of the measurement design problem.

After obtaining the prior distribution of an unknown image, the measurement design problem turns to select k feasible measurements, where k is a given budget.

The IMD method addresses the measurement design problem of selecting k feasible measurements such that the mutual information between the unknown image and measurements is maximised, where k is a given budget and the mutual information is extracted from the linear dynamic sparse model.

end{aligned} (5 Because n t is invariant to (varPhi _t,) maximisingh y t ) is equivalent to maximising (h varPhi _t(x_{t-1}+q_t)).) The measurement design problem then addresses the solution of the following optimisation problem: begin{aligned} &varPhi _t = hbox {arg max}_{varPhi _t}h varPhi _t(x_{t-1}+q_t)) &text{s.t.}, varPhi _t, text{is formed by} ;k ;text{row vectors of}; varPhi.

Network monitoring is essential to the correct and efficient operation of ISP networks and the kind of applications they support, and active measurement is a key design problem in network monitoring.

The objectives of this article are to (1) discuss measurement challenges involved in DTC advertising research, (2) summarize measurement approaches commonly identified in the literature, and (3) discuss contamination, time to action, and endogeneity as specific problems in measurement design and application.

Under the assumption of uniformly quantized measurements, the paper addresses the one-step input design problem for static gains.

In [15], a new approach to the nonlinear observer design problem in the presence of delayed output measurements was presented.

In this paper, the robust finite-time H ∞ filter design problem for uncertain systems subject to missing measurements is investigated.

The present work proposes a new approach to the nonlinear observer design problem in the presence of delayed output measurements.