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Due to the further compression of frequency band, orthogonality between sub-carriers is destroyed, and more complex detection mode is needed to overcome the inter-carrier interference (ICI) and detect the signal [5].
This new biosensor with outstanding sensitivity and selectivity can be further developed in trace analysis of more complex detection systems.
We can now implement the traditional detectors for each class of users separately which also allows the possibility of using more complex detection schemes due to the reduction of the dimensions of the matrices that need to be processed.
On the contrary, a scalable architecture can support fast throughput by relying on simple algorithms when the channel is favorable, while it can reconfigure to exploit much more complex detection strategies when the channel is worse and needs them, reducing the maximum throughput at that moment.
For shorter delays and a better frequency resolution, the frequency estimation method needs to be improved, e.g. by up-sampling the signal in the buffer or employing more complex detection algorithms but without neglecting the real-time ability.
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Other, more complex outlier detection algorithms may perform better, and should be explored.
If more complex but efficient detection scheme (e.g., cyclostationary feature detection) is used, the performance will be further improved.
The relationship between size and density was more complex at other detection points.
It also stands out that the temporal ordering task can be considered auditory and cognitively more complex than gap detection tasks.
Here, also, advances in molecular biology are moving the field forward, but the situation is more complex than for detection of the organism.
By themselves, they only provide limited information, but by introducing localization and proximity detection, more complex operations can be performed and a more capable IoT network can be created.
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more complex screening
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more passive detection
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more involved detection
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