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Section 3 formulates the proposed software solution using a single observation channel and derives the signal processing gain.
This research describes the design and performance of a microfluidic observation channel capable of performing flow cytometry measurements using solid-state lasers and PIN-based photodetectors.
The optical fiber arrangement is designed to permit simultaneous multi-color excitation of sample particles, at a single interrogation point in the observation channel, using multiple angles of excitation and detection.
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The canonical polyadic (CP) decomposition of such semi-symmetric three-way arrays allows us to identify the so-called mixing matrix, which contains the information about the intensities of some latent source signals present in the observation channels.
An endoscope with parallel illumination and observation channels was connected to a Nikon D90 digital camera.
Section 4 presents the message passing framework between system observation and channel decoding.
This motivates to optimize estimator at the FC under realistic observation and channel models, which minimizes the MSE of parameter estimation.
In our observation model, channel observation is independent on the composite action a(t), so we can get the observation matrix under action a(t) as B a ( t ) = B S R 1 ⊗ B S R 2 … ⊗ B S R K ⊗ B R 1 D ⊗ B R 2 D … ⊗ B R K D ⊗ B SD, (31).
where p y) is the probability distribution of y, and I ( r, D ̂ ; y ) denotes the mutual information between the observation r, channel estimates D ̂ SDd, G ̂ SRd, and G ̂ RDd, and data vector y.
To the best of our knowledge, in the present literature, there is no such work on the design of power allocation for the sensor network under consideration which jointly exploits spatial correlation, observation noises, channel gains, and their estimation errors.
However, obtaining observations requires channel sensing and doing so consumes energy.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com