Sentence examples for binary decision based on from inspiring English sources

In the above mentioned cooperative spectrum sensing algorithms, each cooperative partner makes a binary decision based on its local observation and then forwards one bit of the decision to the FC.

In the conventional hard combination CSS scheme, each cooperative partner i makes a binary decision based on its local observation and then forwards its one-bit decision D i (D i  = 1 stands for the presence of the PU, and D i  = 0 stands for the absence of the PU) to the base station.

Then the destination simply combines all the hard-decision results and makes the final binary decision based on majority voting.

At each time step, each node makes a local binary decision based on its observations and transmits it to the fusion center.

With the scheme 1, as time goes, since mobile nodes getting closer to possible target locations, according to the given probability distribution for target locations, a mobile node can make a binary decision based on the information collected at current time interval with a higher confidence level, when compared to a stationary sensor.

Each node (branch) in each tree represents a binary decision based on transcript levels for transcripts described above.

Specifically, we propose two decision fusion architectures where in the first one, the effect of the node mobility is taken into account for the decision updating at the fusion center, and nodes make binary decisions based on the observations during one step movement.

In Section 4, we develop a decision fusion model in which the fusion center updates the decisions over time while nodes make binary decisions based on the observations collected during one time step when the target location is random.

On the other hand, stationary sensors make binary decisions based on its observations collected during current time interval, and the quality of these decisions remains the same over time since nodes are stationary.

With the localized binary MA decision based on long-term performance observation, the optimal path-loss threshold needs to be estimated through long-term measurement and observation, which might be difficult to implement in practice.

However, visibility is not a binary but a fuzzy decision based on assigning different opacity values.