matrix | 3-D array Damping ratios for the natural frequencies in fn, returned as a matrix or 3-D array of the same size as fn. ms— Mode-shape vectors matrix Mode-shape vectors, returned as a matrix. ms has mnum columns, each containing a mode-shape vector of length q, where q ...
The effect of the first term in the square brackets is centered around the Larmor frequency ΩS and can be adjusted by the input polarization of light. The second term affects the spin noise at Ω = 0 and Ω = 2ΩS since the matrix element \(\left\langle F,{m}_{F,f}\...
audioIn— Audio input to weighting filter matrix Output Arguments expand all audioOut— Audio output from weighting filter matrix Object Functions To use an object function, specify the System object as the first input argument. For example, to release system resources of a System object named obj...
The superscript T denotes matrix transposition. A non-linear function f(⋅) is expected to be learned and estimate the next status \({\hat{{{\bf{P}}}_{N}\): $${\hat{{{\bf{P}}}_{N}=f({{{\bf{P}}}_{N-M:N-1})$$ (2) $${{{\bf{P}}}_{N-M:N-1}=[{{{\bf...
Eqs. (4.1) and (4.2) can be written in a form of matrix: (4.15)[M000]·{z¨V¨}+[c0−Β·lLe/R]·{z˙V˙}+[KB·l/R0(R+Re)/R]·{zV}=[0−M00]·{y˙y¨} From Eq. (4.4), Eq. (4.15) becomes (4.16)[M·s2+c·s+KB·l/R−B·l·s(Le·s+R+Re)/R]·{...
Among MIMO-OFDM systems, blind channel estimation has received considerable attention as an essential area of research because of certain issues related to the size of the correlation matrix, the performance degradation of the subspace (SS) method in a highly dispersive medium, and the wastage of ...
First, to decrease the size of the matrix (the distance between all objects to be clustered), cases were arranged into pre-clusters by an algorithm (Norušis, 2012). The algorithm chooses, dependent on the distance measures (here: log-likelihood), whether an observed case is added to a ...
θ^=argmaxθ|∑n=0Ng−1r(n+θ)r∗(n+θ+N)|. ((4)) In [18,19], the proposed DA algorithms have been adapted to the IEEE 802.11a standard. To estimate the symbol timing, these algorithms proceed in two main stages: (i) CTS, then (ii) FTS. The CTS stage exploits the...
2-D frequency vector, returned as a numeric vector.f2has the same odd and even behavior asf1. X-coordinates over a grid, returned as a numeric matrix. Y-coordinates over a grid, returned as a numeric matrix. 1-D frequency vector of points around the unit circle, returned as a numeric...
So, the WT outputs a 2D time–frequency matrix, where the FT gives a 1D frequency spectrum. Similar to equation (4), the superposition of these wavelets can represent any function $${f(t)}={\mathop{\sum }\limits_{{j,\,k} = {-\infty }}^{\infty }{c}_{jk}{\psi }_{jk}{(...