Sentence examples for processing constraint from inspiring English sources
It is important to emphasize that, in order to satisfy the real-time processing constraint for the AVIRIS Cuprite scene, we should be able to process it in less than 1.98 s which is the time needed by the instrument to collect the data.
It is important to note that for each super class process there exists a number of elemental technologies, or what we call unit process (UP), that can perform the job under the same condition with different processing constraint.
However, thanks to the techniques exploited in processing constraint C1, similar methods can be applied effectively in handling constraint C2.
To overcome this processing constraint, three parallel inclined channels1 (PIC) were used to provide an effective increase in the vessel area, and hence facilitate the release of the entrained liquid within the foam.
However, as each user device may have to meet a maximum transmit power requirement due to hardware and signal processing constraint, we can instead examine the maximum achievable data rate of the mth SU on the nth subchannel through replacing P m,n by its maximum value.
Therefore coating processes must be combined with heat treatment processes of the substrates, whereby several practical processing constraints like order and compatibility of the applied treatment procedures must be considered.
Behavioral processing constraints are imposed by conscious and unconscious processes, and behavior must be synchronized with the ever-changing external and internal environments.
Each algorithm has a few variations of this process, however, none have been designed to run on devices with memory and processing constraints.
The processing code has been highly optimized to run within the memory and processing constraints of modern mobile devices, and can analyze an image in under 300ms on an iPhone 5S.
Just what this processing consists of will depend on the processing constraints that we set up on our database.
random beliefs can be considered as a form of optimal decision-making under information processing constraints.
