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In FBMC, long frequency-selective filters are used, drastically reducing the signal sidelobes compared to OFDM [4].
While current videoconferencing equipment has this very capability, it can involve large start-up costs both for the equipment and setting up of ISDN lines, but if Skype or other VOIP systems could be used, drastically decreased costs would be involved to provide similar quality transmissions.
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But Connecticut's lessons also apply to bigger states, like California, Texas and Ohio, where prosecutors even in neighboring counties use drastically different factors to impose the death penalty.
These papers have extended the literature using drastically different input and output combinations from one another, with little theoretical or empirical support backing these specifications.
In research published last summer, Janssens and colleagues found variations in the predictions produced by 23andMe, deCODEme and Navigenics were due in part to them using widely different numbers of SNPs for the same conditions, and sometimes using drastically different average disease risks.
The results demonstrate a strong throughput (sample flow at 10 μL/min; total flow at 100 μL/min) and the achievement of CVs that compare very favorably with published values, making strong strides towards the goal of competing with simple commercial devices but using drastically simplified optical systems.
Second, we believe Surjit Bhalla's estimates of the global middle class, which you used also, drastically overinflates the actual number.
These parachute systems can also be used to "drastically reduce speed and avoid human casualties during take-off and landing accidents," says the institute's chief designer Viktor Lyalin.
The results of this study provide an unusual circumstance for optimal design of chemically active surfaces and can be used to drastically reduce cost of heterogeneous chemical and biological reactors, sensors, and electrodes of fuel cells.
Binary-coded swarm optimization is employed for the identification of filter parameters and model structure, while Extreme Learning Machines, instead of ANN, are used to drastically reduce the large computational times required to perform the experiments.
In this paper, a reduced order modeling method is used to drastically reduce the running time (up to 600 times faster) while still acceptably preserving the accuracy of the model.
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