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Fig. 6 MSE of joint phase and timing estimation versus SNR p in the presence of scalar fronthaul quantization and joint phase and timing estimation (31): F=2,C=3,and.7,N=100 and N p =16.
Fig. 3 MSE for joint phase and timing estimation (31) versus the SNR p : A=0.7,N=100 and N p =16a F=1, MSE of phase offset.
Nevertheless, the use of the Gaussian representation might bring good results also in nonlinear models (e.g., joint phase estimation and data detection [9]).
In dissimilar weld metal, corrosion can occur in either the joint phase or anodic metal due to the formation of galvanic cells.
Fig. 4 SER with uncoded BPSK transmission versus SNR with joint phase and timing estimation (31): F=2,and.7,N=100 and N p =16 Fig. 5 SER with uncoded QPSK transmission versus SNR with joint phase and timing estimation (31): F=2,and.7,N=100 and N p =16.
So the joint phase probability distribution of two symbols l+i and l−i can be used for estimating the phase of the lth symbol, which is the middle of these two symbols.
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Galvanic cell formation is a result of a localised cell between the joint phases and leads to severe defects in the weld metal, such as hydrogen embrittlement and stress corrosion.
This can be achieved by a stepwise, phased rehabilitation approach consisting of (1) an initial protection and joint activation phase, (2) a progressive joint loading and functional restoration phase, and finally (3) an activity restoration phase.
Current research is aimed at studying the joint formation phase.
In the case of the Zn-containing solder joint, Cu3Sn phase, known to be a host of Kirkendall voids, did not form at all even after extended aging treatments.
The interface between the backfill and the rock mass is represented by a joint in Phase 2. This joint is assigned a cohesion of 0 and an interface friction angle being 2/3 of the backfill friction angle (( upphi^{prime } ) = 30°).
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