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In fact, the older you are, the shorter it takes for your left hand to gain a given absolute amount of skill.
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For a given set of linear feedback gains, a given switching scheme and a given bound on the energy of the disturbances, conditions are established in terms of linear or bilinear matrix inequalities under which the resulting switched system is bounded state stable, that is, trajectories starting from a bounded set will remain inside the set or a larger bounded set.
For a given set of linear feedback gains, a given switching scheme and a given bound on the L2 norm of the disturbances, conditions are established in terms of linear or bilinear matrix inequalities under which the resulting switched system is bounded state stable, that is, trajectories starting from a bounded set will remain inside the set or a larger bounded set.
In this paper we design an end-to-end antenna selection (EEAS) strategy to maximize the achievable diversity gain for a given multiplexing gain in a multi-hop relay channel.
The DM-tradeoff [1] characterizes the maximum achievable reliability (diversity gain) for a given rate of increase of transmission rate (multiplexing gain), with increasing signal-to-noise ratio (SNR).
But they do not, certainly when it comes to dealing with big third countries, from Russia to China to America.In Europe, it is rarely enough to show that the union, in aggregate, will gain from a given policy.
The longer the maturity, the bigger the gain for a given decline in interest rates.
A new equation was found between energy absorbance gain for a given core dimeter and the coated TSL thickness.
Researches or design engineers can use this equation as a guide to quantify the energy absorbance gain for a given pillar dimension and TSL thickness.
The real world application of op amps is feedback controlled and depends on op amp open loop gain at a given frequency.
Therefore, we are interested in determining the transmission strategy which provides the best achievable rates or the maximal SNR gain for a given coverage scenario.
Write better and faster with AI suggestions while staying true to your unique style.
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