Benaroya et al. [19] express each source as a weighted sum of temporal Gaussian stationary processes, with positive, slowly time-varying weights.
In this paper, based on the double-ring scattering model with LOS components we suggest a sum-of-sinusoids MIMO mobile-to-mobile channel simulation method, which can characterize the spatial/temporal channel correlation and Rician fading effect.
PLCA can be understood as a probabilistic interpretation of NMF which decomposes the magnitude spectrogram as a sum of outer products of spectral and temporal components; its major benefit being the possibility to incorporate prior distributions in the decomposition.
The CIM calculation gives the electric and magnetic fields at the Earth's surface as a sum of external and internal parts, once the temporal evolution of the primary external (ionospheric) current system and 1D Earth conductivity structure are specified.
Furthermore, Gacek recently discussed the granular representation of time series with a number of representation alternatives and the question of forming adjustable temporal slices, and presented an optimization criterion of a sum of volumes of IG [74].
Martinez-Montes et al. [ 2004] used a less conventional method (multiway partial least-squares analysis) to decompose both EEG (independent variable) and fMRI data (dependent variable) uniquely as a sum of 'atoms' (each EEG atom is the outer product of spatial, spectral and temporal signatures; each fMRI atom is the product of spatial and temporal signatures).
(a) Sum of Absolute Differences SADD".
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Recall that for each k, y n (k)=N(A n (k Φ̇ n (t L )−μ B n (k)Φ n (t L )), this is simply a weighted sum of the temporal field measurements taken by sensor n; thus, we can write (y_{n}(k) = sum _{l=0}^{L} w_{n,l} k)varphi _{n}(t_{l})), with (w_{n,l}(k) in mathbb {C}) since (A_{n} k), B_{n}(k) in mathbb {C}).
A squared sum of spatial and temporal saliency maps has been used to pool them together for computing the overall spatio-temporal map.
