According to the traditional in-flight vector calibration of VFM fluxgate instruments, the raw data of the vector magnetometer are processed by applying an error model which takes into account of scale factors and their dependence on time and temperature, offsets and non-orthogonal angles between the sensor elements.
For each chip feature, significance of difference between control and experimental conditions was tested by applying an error model-based hypothesis test to all control replicates as a group versus each treatment replicate individually.
By applying an error-correction procedure of the protocol, we are able to address both sequencing and PCR errors, which leads to high assembly accuracy.
Ten reported mtDNA sequences (shared by nine haplotypes; GenBank accession numbers EF126707, EF126709, EF126710, EF126719, EF126720, EF126722, EF126729, EF126730, and EF126732) were excluded for further analysis because of apparent sequencing and reading errors by applying an error-pinpointing approach described in our previous study and others [ 43, 44].
In this architecture, the influence of motion errors on roundness measurement is minimized by applying a new error separation technique developed by Horikawa et. al. [1,2], the improved Reversal Method — IRM.
Random losses, obtained by applying a uniform error model to the wireless channel.
By applying a homoscedastic error model-based time series change point detection algorithm to this motion entropy curve, one is able to segment the corresponding video sequence into individual sections, each consisting of a semantically relevant event.
The above configurations can be affected by different losses in the wireless link: Random losses, obtained by applying a uniform error model to the wireless channel Bursty losses (i.e., correlated losses), generated according to an exponential probability distribution: errors occur at time intervals which follow an exponential distribution function with a specific average error rate.
The receiver then applies a discrete Fourier transform (DFT) to generate estimate of c. Finally it extracts the block of input bits by applying a suitable error-correction algorithm.
A novel design concept was proposed to remove this error by applying an external force on both edge of a sheet, together with two additional forces: the edge torsion force and the pressing force.
To improve the accuracy of the turkey genome assembly and reliably predict SNPs on the assembled contigs, data were screened for quality by applying a maximum sequencing error tolerance for reads with a single representation.
