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Motivated by the fact that the optimum transmit beamformers [1 3] and the joint optimum transmit-receive beamformers [6] can be obtained only iteratively due to the coupled nature of the corresponding optimization problems, recently, the concept of leakage and subsequently the signal-to-leakage-plus-noise ratio (SLNR) as a figure of merit have been introduced in [7, 8].
By using the instantaneous channel knowledge at transmitters, joint optimum power allocation and beamforming algorithms have been proposed for the two-phase TWR network in [14] and the three-phase TWR network in [15] to minimize the system transmit power, while guaranteeing that the received signal-to-noise ratios (SNRs) at the two sources be larger than the pre-defined thresholds.
To obtain the joint optimum,, I let both characters evolve in response to each other.
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Greyscale and power Doppler scanning of metacarpophalangeal joints, wrists and metatarsophalangeal joints provides the optimum minimal ultrasound data to improve on clinical predictive models for RA.
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This permits the authors to define the welding conditions that lead to an optimum joint geometry and then to guarantee its properties.
A model was developed based on Artificial Neural Networking system identification methods to predict the optimum joint configuration based on the given input parameters.
Experimental results show that the proposed algorithms are able to dynamically compute the corporative teams and design the optimum joint action policy for corporative teams.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com