approximate data

Approximate data show that in 1992 their number considerably decreased.

Now as to the star, we have some approximate data and estimates taken by previous watches.

If no regular schedule can be established, give approximate data :

In general you should divide the modem bit rate by 10 to get the approximate data rate.

With asterisk there are identified years of approximate data.

Records need not always be exact or detailed, but it should be possible to estimate approximate data where necessary.

They'll be able to provide approximate data.

Bloom filters can be used for approximate data synchronization as in .

Subjective studies can provide approximate data, but savvy marketers need measurable, objective results.

The former provides approximate data, while the latter can provide objective data on the color properties of any given liquid.

Here is the approximate data in most quarters:

This approximate data from the wreck suggests that pithoi were in fact shipped, but only those of much smaller capacity.

In many cases the spatial Poisson process used to approximate data sets of processes on spacial networks.

Reliable, or even approximate data, have not been collected, stored or provided by any organization or official agency.

The problem of obtaining exact "Mojette" values while using approximated data acquisition has been studied but has to be continued.

This specific bitrate was chosen for transmission over T-1/E-1 lines and as the approximate data rate of audio CDs.

Disk refers to the approximate data transfer rate (in megabytes per second) for SCSI-based machines.

Humans can handle approximate data; with spirits you have to spell out every word and make sure you've crossed your t's and dotted your i's (and even your/s).

According to the approximate data provided by the Congrès in its final report, some 310 000 people took part in the Congrès and its related activities, 19% more than the objective set.

Testing by Huawei shows that non-linear precoding algorithms can provide an approximate data rate gain of 25% compared to linear precoding; however, the increased complexity leads to implementation difficulties, higher power consumption, and greater costs.

The data fingerprints they propose are based on checksums and can be created by applying hash functions to normalized and approximated data, and used in statistical applications to prevent misinterpretations of data, and to verify content and format during data migration and archiving.