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Maximizing the data throughput is a very common implementation objective for several streaming applications.
This paper considers the problem of locating sensors on a spatial lattice structure with the aim of maximizing the data information so that structural dynamic behavior can be fully characterized.
The other aims at maximizing the data rate subject to limited transmission power, so called the rate-adaptive (RA) problem.
SM is a MIMO technique aimed at maximizing the data throughput by exploiting the degrees of freedom in MIMO channels.
The model parameters P(w j |z k ) and P z k |d i ) are estimated by maximizing the data log-likelihood using EM algorithm [20, 21].
Spatial multiplexing is a MIMO technique aimed at maximizing the data throughput by exploiting the degrees of freedom in MIMO channels.
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The visual style is influenced by Edward Tufte's principle of maximizing the data-ink ratio (Tufte, 2001).
Two main classes of bit loading problems are: rate maximization (RM --maximizing the data RM --maximizingoweRM --maximizingargin maximizathen (MM)--minimizing power consumption given a target data rate [28].
The purpose of capacity maximization is to maximize the data transmission rate sum, which is directly related with the CR transmission power on each sub-channel.
REXIS will store each X-ray event in order to maximize the data storage usage and to minimize the risk.
This usually happened because most groups try and transmit as rapidly as they can to maximize the data flow.
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