The histological findings in this study support the real time tissue viability measurements by sensor-enabled bioreactor.
Multiplying the TDOA by the signal propagation speed, and under the assumption that the two TOA measurements are generated by the same target event, the distance difference of arrival (DDOA) between TOA measurements generated by sensors i and j is given as follows: begin{array}rcl@ tau i,j) &triangleq & cbig[t(i) -t(j big] end{array} (30).
In this work, the map is generated from measurements gathered by sensors spread throughout the environment.
Multi-target tracking aims to detect individual targets in the surveillance region of interest and estimate their states according to a sequence of noisy and cluttered measurements collected by sensors.
Topography measurements by wavefront sensors are affected by the same issues because current wavefront sensors operate in the visible spectrum.
Preliminary measurements by thermal sensors reveals fingerprints of the reattachment zone applying time-frequency analysis.
Again, let n(i) denote the number of measurements generated by sensor i, which can include both target generated measurements and spurious false alarms.
The set of RVs referring to the range measurements received by sensor mote i, which uses ID (I_{mathcal {L}}), from nodes sending with ID (I_{mathcal {K}}) is denoted by (mathcal {D}_{i} = { d_{jrightarrow i} vert jin mathcal {K} }).
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}).
Let z i,j) denote the j-th measurement generated by sensor i.
