The phrase "amplitude vector" is correct and usable in written English.
It can be used in contexts related to physics, engineering, or signal processing, where it refers to a vector that represents the amplitude of a signal or wave.
Example: "In the analysis of the sound wave, we calculated the amplitude vector to determine the intensity of the sound at various frequencies."
Alternatives: "magnitude vector" or "signal amplitude vector".
The input to each periodic port was an electric field amplitude vector with defined unit intensity.
The dynamic compliance in the frequency response problem is formulated as the scalar product of the conjugate transpose of the amplitude vector and the force vector of the loading nodes.
Here ω is the circular frequency; D is the displacement amplitude vector; M and K are the mass and static stiffness matrices; and K is the dynamic stiffness matrix, with coefficients which include trigonometric and hyperbolic functions involving ω and mass because elements (for example, bars or beams) are analyzed exactly by solving their governing differential equations.
Then we used the absolute value of vector y to recover the target amplitude vector.
The amplitude vector a is constant between realizations up to a multiplying factor.
The complex amplitude vector is denoted by α 1 × L = a 1 ⋯ a L, and N stands for the complex Gaussian white noise matrix.
The results show that, on the one hand, there are above-moderate degrees of correlation between the white noise amplitude vectors in all components of the stations before and after removal of the CME, while the correlations between flicker noise amplitude vectors in horizontal and vertical components are enhanced from un-correlated to moderately correlated by removing the CME.
In this study, before and after removing the common-mode error (CME), we performed one-dimensional linear regression analysis of the noise amplitude vectors in different components of 126 GPS stations with a combination of white noise, flicker noise, and random walking noise in Southern California.
In the simulations, we employ a time-invariant multipath channel with L=3 taps, a relative path-amplitude vector a=[0,−1.5,−3] dB, a relative path-phase vector (boldsymbol {theta }=left [0,frac {pi }{3}, frac {2pi }{3}right ]), and path-delay vector (boldsymbol {tau }=left [0,frac {T_{c}}{2}, T_{c}right ]).
The amplitude of vector components is plotted, each vector coordinate corresponds to an hour ranging from 0 to 23.
The normalized capacity with respect to the bandwidth can then be obtained by averaging the instantaneous capacity over the PDF of the random time-varying amplitude attenuation vector : (14).
