Sentence examples for more powerful error from inspiring English sources

Exact(5)

DVDs (digital video, or versatile, discs), developed for recording movies, store data more densely than does CD-ROM, with more powerful error correction.

Schönfeld and Winkler [15] have proposed a new way to hide data using more powerful error correction code.

Semiconductor technology scaling makes NAND flash memory subject to continuous raw storage reliability degradation, leading to the demand for more and more powerful error correction codes.

Therefore, a more powerful error correction method is needed to measure longer sets of motions, such as a rally in a tennis match.

The first one is based on a dedicated control channel within the train-to-ground network, which utilizes more powerful error control mechanisms such as 1/3 rate turbo code, and a lower order modulation scheme such as QPSK modulation.

Similar(55)

Although our meta-analysis is a practical way to generate a more powerful result with less random error than each individual study, our study has some limitations.

The complexity of mtDNA data needs to be reduced to simplify the graphical representation of the network and to make it more powerful for the detection of errors.

However, when analysing aggregated data with a relatively large number of data points interrupted time series regressions with SARIMA errors prove more powerful, as such designs enable better control of secular and seasonal trends in the data series (the latter being particularly important given the seasonality in alcohol sales).

Our simulation studies showed that KCCA controls the Type-I error, and is more powerful than leading gene-based approaches under a disease model with negligible marginal effects.

More research is also needed in other areas, including longer read depths, improved protocols for generate paired ends, advances in sequencing technology with lower base calling error rates, and more powerful alignment methods.

If χ tables with expected values of two or less are excluded, a step that prevents overtly large χ values being produced when expected values are low, the Max χ test may become more powerful without inflation of type 1 error (Piganeau and Eyre-Walker 2004).

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