2,3. For large heterogeneous systems of interacting oscillators we observe, at any given moment, a distribution of oscillator states; being able to usefully
where \(g_t\) is the gradient at step t and \(E\left[ g^{2}\right] _{t}\) is the weighted moving average of the squared gradient with \(E[g^2]_{t=0} = g_0^2\). In this paper, the hyperparameters of the optimization technique are set for all experiments as follows: le...
squared spectral parameterspectrumoscillation propertiesinterlacingWe consider the spectrum of the following linear fourth-order eigenvalue problem: $$\\begin{aligned} (py'')''(x)-(q(x)y'(x))'= & {} \\lambda y(x),\\quad x\\in (0,l),\\\ y'(0)\\cos \\alpha -y''(0)\\sin ...
(t,x)−udiscovered(t,x)‖2‖utrue(t,x)‖2 For baseline comparison, a standard deep neural network (DNN) is also trained with the same architecture (i.e. same hyperparameters) as the BNN, using a mean-squared error loss with a learning rate, α=2⋅10−4, over 30000 ...
where coefficients αirepresent distortion. The squared term becomes;a2vi n2=a2[mI2(t)2(1+cos 2ωct)+mQ2(t)2(1+sin 2ωct)] which shows the message signal translated to both baseband and two times the carrier frequency...
Plugging 2 × VO(PP) into the power equation, where voltage is squared, yields 4× the output power from the same supply rail and load impedance (see Equation 4). Copyright © 2002–2008, Texas Instruments Incorporated Product Folder Link(s): TPA6203A1 Submit Documentation Feedback 11 TPA...
The norm was defined as the sum of the squares of the elements in the two-dimensional image matrix divided by the total number of elements, i.e., the average of the squared elements. The value Δ was then minimized over p using a downhill simplex method, available as fminsearch in ...
baseduponthefactthatthemodulationindexes(twoperiods)areappliedperiodically.Theaccuracyoftheanalyticalresultsisverifiedwithcomputersimulations.Itisfoundthatamulti-hCPFSKsignalindeedcanbedemodulatedthroughdifferentialdetection,theperformanceisgood.Itisalsointerestingtonotethatasetofmodulationindexeswithalargerminimum-squared...
Interaction vertices are reconstructed from charged tracks and the vertex of the diphoton event is taken as the one with the largest sum of squared transverse momenta ( pT2 ) of the associated tracks. The photon four-momentum is recalcu- lated with respect to this vertex. 4.2 Photon ...
Squared values of impacts are obtained by fixing a set of nuisance parameters of the uncertainty sources corresponding to the category to the best-fit values, then calculating the difference between the squares of the resulting uncertainty from the total uncertainty of the nominal fit Uncertainty ...