Sentence examples for much computational overhead from inspiring English sources

The PDR is an excellent metric since the CH can measure it by itself accurately without much computational overhead, and PDR can identify the presence of all types of jamming attacks both at physical and data link layers.

With a much larger system, (and much more computational overhead!), one could create other crystal growth initiators conditions, such as a screw dislocation for similar layer-by-layer growth mechanism.

A feature of CI relative to techniques which exploit full correlation information is that it provides provable consistency with much less computational overhead.

The construction developed by Grimsmo appears most suitable for use in scenarios with very large feedback time delay, requiring a much higher computational overhead than should be necessary when propagation delays are relatively small.

In order to determine how much additional computational overhead was imposed by the calculation of exp and log1p we performed a comparison with an artificial reference calculation, which was identical except that calls to these functions were omitted.

Although the reference free methods are just as sensitive to nucleotide distance between samples and large genetic distances cannot be assayed any more effectively than with alignment based methods, virtually any organism can be compared against close relatives with just the sequencing and much lower computational overhead.

However, for long sequences, these methods may require too much computation overhead and memory.

Using both mathematical analysis and experimental studies of Internet traces, we demonstrate that SeqHash can achieve the same accuracy as the existing methods do but using much less memory and computational overhead.

Computational overhead is reduced as much as possible by avoiding the slower C++/Qt functions where execution speed is rate limiting and relying on Qt framework only for higher-level functions.

However, the last two implementations (Rnd and GaussRnd) are additionally much more efficient and light-weighted, since they strip the respective computational overhead that the detectors (SIFT and SURF) introduce.

This is due in part to the fact that computing K T K can require large amounts of computational overhead.