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In this paper we generalize the previous work to include the important case of sources with memory.
In this paper, group lasso is considered to perform DOA estimation in the case of sources with nonproportional spectra.
The case of sources with nonproportional spectra is considered in Section 4, and the group sparsity-based reconstruction is presented.
In the case of sources with nonproportional spectra, the common support that is shared by the observations at the employed frequencies is exploited through group sparse reconstruction.
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In case of source routing protocols, RREQ builds a source routing header of the path followed by it.
For the case of source reactivity variation an asymptotic reactor period is deduced as a solution of this modified inhour equation.
In this paper the application of the GPD method is investigated for the important case of source data from a Weibull parent.
Fig. 1 Example of a simple case of source inference problem: if all three nodes are found active, then node a must be the source.
For the homogeneous case of source term, the elliptic problem was considered in a series of articles analyzing the stability and convergence (see, e.g., [6 8, 10, 11, 14]).
It is difficult to derive the closed-form solution for this probability, instead we will derive the upper and lower approximations similarly to the case of source retransmitting.
Whereas, in case of source-based routing, a decision is to be made, to which neighbouring node the message should be forwarded.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com