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A simultaneous task performance was coded when two activities were obviously performed in a timely concurrent manner [ 13, 32].
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However, when coded, it was coded accurately.
When different views of the same visual scene are coded in different camera nodes, e.g. in visual sensors networks, inter-view coding can further improve the coding performance, exploiting inter-camera redundancy.
That means CDD yields higher-frequency selectivity and then the error performance is improved when coding is applied across subcarriers.
The simulation result is given in Figure 5, as can be seen, the system performance is greatly improved when turbo code is applied, and the relationship between the proposed algorithms remains the same.
Likewise, it is also shown that excellent performance is achieved also when each user adopts the same spreading code for all of its transmit antennas.
This is the reason that coding time reduces not sufficiently while the loss of coding performance is not so much when AMP is disabled.
Findings remained when performance was covaried.
The performance is compared for the cases when raptor codes are implemented as an extension to the MAC layer against the performance when implemented at the application layer as usually proposed in the literature and in our previous works in [12, 13].
(iii) Scenario C: when using LDPC codes, performance is usually given as a function of the (the energy per uncoded bit over the noise).
First of all its performance is much better (both diversity and coding gain), especially when the interference level is high.
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CEO of Professional Science Editing for Scientists @ prosciediting.com